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  • 1.
    Alonso-Fernandez, Fernando
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Bigun, Josef
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Englund, Cristofer
    RISE Viktoria, Gothenburg, Sweden.
    Expression Recognition Using the Periocular Region: A Feasibility Study2018In: 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) / [ed] Gabriella Sanniti di Baja, Luigi Gallo, Kokou Yetongnon, Albert Dipanda, Modesto Castrillón-Santana & Richard Chbeir, Los Alamitos: IEEE Computer Society, 2018, p. 536-541Conference paper (Refereed)
    Abstract [en]

    This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is the facial region in the immediate vicinity of the eye. It has the advantage of being available over a wide range of distances and under partial face occlusion, thus making it suitable for unconstrained or uncooperative scenarios. We evaluate five different image descriptors on a dataset of 1,574 images from 118 subjects. The experimental results show an average/overall accuracy of 67.0%/78.0% by fusion of several descriptors. While this accuracy is still behind that attained with full-face methods, it is noteworthy to mention that our initial approach employs only one frame to predict the expression, in contraposition to state of the art, exploiting several order more data comprising spatial-temporal data which is often not available.

  • 2.
    Alonso-Fernandez, Fernando
    et al.
    Halmstad University, Sweden.
    Bigun, Josef
    Halmstad University, Sweden.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Expression Recognition Using the Periocular Region: A Feasibility Study2019In: Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 536-541Conference paper (Refereed)
    Abstract [en]

    This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is the facial region in the immediate vicinity of the eye. It has the advantage of being available over a wide range of distances and under partial face occlusion, thus making it suitable for unconstrained or uncooperative scenarios. We evaluate five different image descriptors on a dataset of 1,574 images from 118 subjects. The experimental results show an average/overall accuracy of 67.0/78.0% by fusion of several descriptors. While this accuracy is still behind that attained with full-face methods, it is noteworthy to mention that our initial approach employs only one frame to predict the expression, in contraposition to state of the art, exploiting several order more data comprising spatial-temporal data which is often not available.

  • 3.
    Andersson, Jonas
    et al.
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Habibovic, Azra
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Klingegård, Maria
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Englund, Cristofer
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Malmsten-Lundgren, Victor
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Hello human, can you read my mind?2017In: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, no 109, p. 36-37Article, review/survey (Refereed)
    Abstract [en]

    For safety reasons, autonomous vehicles should communicate their intent rather than explicitly invite people to act. At RISE Viktoria in Sweden, we believe this simple design principle will impact how autonomous vehicles are experienced in the future.

  • 4.
    Andersson, Jonas
    et al.
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Habibovic, Azra
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Klingegård, Maria
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Malmsten-Lundgren, Victor
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Hello Human, can you read my mind?2017In: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, no 109, p. 36-37Article in journal (Other academic)
    Abstract [en]

    For safety reasons, autonomous vehicles should communicate their intent rather than explicitly invitepeople to act. At RISE Viktoria in Sweden, we believe this simple design principle will impact howautonomous vehicles are experienced in the future

  • 5.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Detournay, J.
    Swedish National Transport Research Institute, Gothenburg, SE-402 78, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Frimodig, Viktor
    Halmstad University, School of Information Technology.
    Jansson, Oscar Uddman
    Swedish National Transport Research Institute, Gothenburg, SE-402 78, Sweden.
    Larsson, Tony
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Mostowski, Wojciech
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Díez Rodríguez, Víctor
    Halmstad University, School of Information Technology.
    Rosenstatter, Thomas
    Halmstad University, School of Information Technology.
    Shahanoor, Golam
    Halmstad University, School of Information Technology.
    Team Halmstad Approach to Cooperative Driving in the Grand Cooperative Driving Challenge 20162018In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1248-1261Article in journal (Refereed)
    Abstract [en]

    This paper is an experience report of team Halmstad from the participation in a competition organised by the i-GAME project, the Grand Cooperative Driving Challenge 2016. The competition was held in Helmond, The Netherlands, during the last weekend of May 2016. We give an overview of our car’s control and communication system that was developed for the competition following the requirements and specifications of the i-GAME project. In particular, we describe our implementation of cooperative adaptive cruise control, our solution to the communication and logging requirements, as well as the high level decision making support. For the actual competition we did not manage to completely reach all of the goals set out by the organizers as well as ourselves. However, this did not prevent us from outperforming the competition. Moreover, the competition allowed us to collect data for further evaluation of our solutions to cooperative driving. Thus, we discuss what we believe were the strong points of our system, and discuss post-competition evaluation of the developments that were not fully integrated into our system during competition time. © 2000-2011 IEEE.

  • 6.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, Sweden ; VTI Swedish National Road and Transport Research Institute, Sweden.
    Detournay, Jerome
    Halmstad University, Sweden ; VTI Swedish National Road and Transport Research Institute, Sweden.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.
    Frimodig, Viktor
    Halmstad University, Sweden.
    Jansson, Oscar U.
    Halmstad University, Sweden.
    Larsson, Tony
    Halmstad University, Sweden.
    Mostowski, Wojciech
    Halmstad University, Sweden.
    Diez Rodriguez, Victor
    Halmstad University, Sweden; VTI Swedish National Road and Transport Research Institute, Sweden.
    Rosenstatter, Thomas
    Halmstad University, Sweden; Salzburg University of Applied Sciences, Austria.
    Shahanoor, Golam
    Halmstad University, Sweden .
    Team Halmstad Approach to Cooperative Driving in the Grand Cooperative Driving Challenge 20162018In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1248-1261Article in journal (Refereed)
    Abstract [en]

    This paper is an experience report of team Halmstad from the participation in a competition organised by the i-GAME project, the Grand Cooperative Driving Challenge 2016. The competition was held in Helmond, The Netherlands, during the last weekend of May 2016. We give an overview of our car's control and communication system that was developed for the competition following the requirements and specifications of the i-GAME project. In particular, we describe our implementation of cooperative adaptive cruise control, our solution to the communication and logging requirements, as well as the high level decision making support. For the actual competition we did not manage to completely reach all of the goals set out by the organizers as well as ourselves. However, this did not prevent us from outperforming the competition. Moreover, the competition allowed us to collect data for further evaluation of our solutions to cooperative driving. Thus, we discuss what we believe were the strong points of our system, and discuss post-competition evaluation of the developments that were not fully integrated into our system during competition time.

  • 7.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Englund, Cristofer
    RISE Viktoria & Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab).
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Larsson, Tony
    Högskolan i Halmstad.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations2017In: Proceedings of 2017 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-zero), Society of Automotive Engineers of Japan , 2017, article id 20174621Conference paper (Refereed)
    Abstract [en]

    Cooperative adaptive cruise control (CACC) is a cooperative intelligent transport systems (C-ITS) function, which especially when used in platooning applications, possess many expected benefits including efficient road space utilization and reduced fuel consumption. Cut-in manoeuvres in platoons can potentially reduce those benefits, and are not desired from a safety point of view. Unfortunately, in realistic traffic scenarios, cut-in manoeuvres can be expected, especially from non-connected vehicles. In this paper two different controllers for platooning are explored, aiming at maintaining the safety of the platoon while a vehicle is cutting in from the adjacent lane. A realistic scenario, where a human driver performs the cut-in manoeuvre is used to demonstrate the effectiveness of the controllers. Safety analysis of CACC controllers using time to collision (TTC) under such situation is presented. The analysis using TTC indicate that, although potential risks are always high in CACC applications such as platooning due to the small inter-vehicular distances, dangerous TTC (TTC < 6 seconds) is not frequent. Future research directions are also discussed along with the results.

  • 8.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. RISE Viktoria, Göteborg, Sweden.
    Jansson, Jonas
    The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Larsson, Tony
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Nåbo, Arne
    The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations2017In: Proceedings of 2017 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-zero), Society of Automotive Engineers of Japan , 2017, article id 20174621Conference paper (Refereed)
    Abstract [en]

    Cooperative adaptive cruise control (CACC) is a cooperative intelligent transport systems (C-ITS) function, which especially when used in platooning applications, possess many expected benefits including efficient road space utilization and reduced fuel consumption. Cut-in manoeuvres in platoons can potentially reduce those benefits, and are not desired from a safety point of view. Unfortunately, in realistic traffic scenarios, cut-in manoeuvres can be expected, especially from non-connected vehicles. In this paper two different controllers for platooning are explored, aiming at maintaining the safety of the platoon while a vehicle is cutting in from the adjacent lane. A realistic scenario, where a human driver performs the cut-in manoeuvre is used to demonstrate the effectiveness of the controllers. Safety analysis of CACC controllers using time to collision (TTC) under such situation is presented. The analysis using TTC indicate that, although potential risks are always high in CACC applications such as platooning due to the small inter-vehicular distances, dangerous TTC (TTC < 6 seconds) is not frequent. Future research directions are also discussed along with the results.

  • 9.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, Sweden; VTI The Swedish National Road and Transport Research Institute, Sweden.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden .
    Jansson, Jonas
    VTI The Swedish National Road and Transport Research Institute, Sweden.
    Larsson, Tony
    Halmstad University, Sweden .
    Nåbo, Arne
    VTI The Swedish National Road and Transport Research Institute, Sweden.
    Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-inSituations2017Conference paper (Refereed)
    Abstract [en]

    Cooperative adaptive cruise control (CACC) is a cooperative intelligent transport systems (C-ITS) function,which especially when used in platooning applications, possess many expected benefits including efficient road spaceutilization and reduced fuel consumption. Cut-in manoeuvres in platoons can potentially reduce those benefits, and are notdesired from a safety point of view. Unfortunately, in realistic traffic scenarios, cut-in manoeuvres can be expected, especiallyfrom non-connected vehicles. In this paper two different controllers for platooning are explored, aiming at maintaining thesafety of the platoon while a vehicle is cutting in from the adjacent lane. A realistic scenario, where a human driver performsthe cut-in manoeuvre is used to demonstrate the effectiveness of the controllers. Safety analysis of CACC controllers usingtime to collision (TTC) under such situation is presented. The analysis using TTC indicate that, although potential risks arealways high in CACC applications such as platooning due to the small inter-vehicular distances, dangerous TTC (TTC < 6seconds) is not frequent. Future research directions are also discussed along with the results.

  • 10.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). The Swedish National Road and Transport Research Institute (VTI), Göteborg, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. RISE Viktoria, Göteborg, Sweden.
    Larsson, Tony
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Jansson, Jonas
    The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Nåbo, Arne
    The Swedish National Road and Transport Research Institute (VTI), Göteborg, Sweden.
    Safety Evaluation of Highway Platooning Under a Cut-In Situation Using Simulation2018In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016Article in journal (Refereed)
    Abstract [en]

    Platooning refers to an application, where a group of connected and automated vehicles follow a lead vehicle autonomously, with short inter-vehicular distances. At merging points on highways such as on-ramp, platoons could encounter manually driven vehicles, which are merging on to the highways. In some situations, the manually driven vehicles could end up between the platooning vehicles. Such situations are expected and known as “cut-in” situations. This paper presents a simulation study of a cut-in situation, where a platoon of five vehicles encounter a manually driven vehicle at a merging point of a highway. The manually driven vehicle is driven by 37 test persons using a driving simulator. For the platooning vehicles, two longitudinal controllers with four gap settings between the platooning vehicles, i.e. 15 meters, 22.5 meters, 30 meters, and 42.5 meters, are evaluated. Results summarizing cut-in behaviours and how the participants perceived the situation are presented. Furthermore, the situation is assessed using safety indicators based on time-to-collision.

  • 11.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, Sweden ; VTI Swedish National Road and Transport Research Institute, Sweden.
    Larsson, Tony
    Halmstad University, Sweden.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.
    Jansson, Jonas
    VTI Swedish National Road and Transport Research Institute, Sweden.
    Nabo, Arne
    VTI Swedish National Road and Transport Research Institute, Sweden.
    Simulation of cut-in by manually driven vehicles in platooning scenarios2017In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2017Conference paper (Refereed)
    Abstract [en]

    In the near future, Cooperative Intelligent Transport System (C-ITS) applications are expected to be deployed. To support this, simulation is often used to design and evaluate the applications during the early development phases. Simulations of C-ITS scenarios often assume a fleet of homogeneous vehicles within the transportation system. In contrast, once C-ITS is deployed, the traffic scenarios will consist of a mixture of connected and non-connected vehicles, which, in addition, can be driven manually or automatically. Such mixed cases are rarely analysed, especially those where manually driven vehicles are involved. Therefore, this paper presents a C-ITS simulation framework, which incorporates a manually driven car through a driving simulator interacting with a traffic simulator, and a communication simulator, which together enable modelling and analysis of C-ITS applications and scenarios. Furthermore, example usages in the scenarios, where a manually driven vehicle cut-in to a platoon of Cooperative Adaptive Cruise Control (CACC) equipped vehicles are presented.

  • 12.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Larsson, Tony
    Högskolan i Halmstad.
    Englund, Cristofer
    RISE Viktoria & Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab).
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios2017In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, p. 315-320Conference paper (Refereed)
    Abstract [en]

    In the near future, Cooperative Intelligent Transport System (C-ITS) applications are expected to be deployed. To support this, simulation is often used to design and evaluate the applications during the early development phases. Simulations of C-ITS scenarios often assume a fleet of homogeneous vehicles within the transportation system. In contrast, once C-ITS is deployed, the traffic scenarios will consist of a mixture of connected and non-connected vehicles, which, in addition, can be driven manually or automatically. Such mixed cases are rarely analysed, especially those where manually driven vehicles are involved. Therefore, this paper presents a C-ITS simulation framework, which incorporates a manually driven car through a driving simulator interacting with a traffic simulator, and a communication simulator, which together enable modelling and analysis of C-ITS applications and scenarios. Furthermore, example usages in the scenarios, where a manually driven vehicle cut-in to a platoon of Cooperative Adaptive Cruise Control (CACC) equipped vehicles are presented.

  • 13.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Larsson, Tony
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. RISE Viktoria, Gothenburg, Sweden.
    Jansson, Jonas
    The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Nåbo, Arne
    The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios2017In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Piscataway, NJ: IEEE, 2017, p. 1-6Conference paper (Refereed)
    Abstract [en]

    In the near future, Cooperative Intelligent Transport System (C-ITS) applications are expected to be deployed. To support this, simulation is often used to design and evaluate the applications during the early development phases. Simulations of C-ITS scenarios often assume a fleet of homogeneous vehicles within the transportation system. In contrast, once C-ITS is deployed, the traffic scenarios will consist of a mixture of connected and non-connected vehicles, which, in addition, can be driven manually or automatically. Such mixed cases are rarely analysed, especially those where manually driven vehicles are involved. Therefore, this paper presents a C-ITS simulation framework, which incorporates a manually driven car through a driving simulator interacting with a traffic simulator, and a communication simulator, which together enable modelling and analysis of C-ITS applications and scenarios. Furthermore, example usages in the scenarios, where a manually driven vehicle cut-in to a platoon of Cooperative Adaptive Cruise Control (CACC) equipped vehicles are presented. © 2017 IEEE.

  • 14.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Larsson, Tony
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Jansson, Jonas
    The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. Viktoria Swedish ICT, Gothenburg, Sweden.
    Dimensions of Cooperative Driving, ITS and Automation2015In: 2015 IEEE Intelligent Vehicles Symposium (IV), Piscataway, NJ: IEEE Press, 2015, p. 144-149Conference paper (Refereed)
    Abstract [en]

    Wireless technology supporting vehicle-to-vehicle (V2V), and vehicle-to-infrastructure (V2I) communication, allow vehicles and infrastructures to exchange information, and cooperate. Cooperation among the actors in an intelligent transport system (ITS) can introduce several benefits, for instance, increase safety, comfort, efficiency. Automation has also evolved in vehicle control and active safety functions. Combining cooperation and automation would enable more advanced functions such as automated highway merge and negotiating right-of-way in a cooperative intersection. However, the combination have influences on the structure of the overall transport systems as well as on its behaviour. In order to provide a common understanding of such systems, this paper presents an analysis of cooperative ITS (C-ITS) with regard to dimensions of cooperation. It also presents possible influence on driving behaviour and challenges in deployment and automation of C-ITS.

  • 15.
    Aramrattana, Maytheewat
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Patel, Raj Haresh
    Communication Systems Department, EURECOM, Sophia-Antipolis, France.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). RISE Viktoria, Gothenburg, Sweden.
    Härri, Jérôme
    Communication Systems Department, EURECOM, Sophia-Antipolis, France.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
    Bonnet, Christian
    Communication Systems Department, EURECOM, Sophia-Antipolis, France.
    Evaluating Model Mismatch Impacting CACC Controllers in Mixed2018In: 2018 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2018, p. 1867-1872Conference paper (Refereed)
    Abstract [en]

    At early market penetration, automated vehicles will share the road with legacy vehicles. For a safe transportation system, automated vehicle controllers therefore need to estimate the behavior of the legacy vehicles. However, mismatches between the estimated and real human behaviors can lead to inefficient control inputs, and even collisions in the worst case. In this paper, we propose a framework for evaluating the impact of model mismatch by interfacing a controller under test with a driving simulator. As a proof- of-concept, an algorithm based on Model Predictive Control (MPC) is evaluated in a braking scenario. We show how model mismatch between estimated and real human behavior can lead to a decrease in avoided collisions by almost 46%, and an increase in discomfort by almost 91%. Model mismatch is therefore non-negligible and the proposed framework is a unique method to evaluate them. © 2018 IEEE.

  • 16.
    Bengtsson, Hoai
    et al.
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Chen, Lei
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Voronov, Alexey
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. Viktoria Swedish ICT, Gothenburg, Sweden.
    Interaction Protocol for Highway Platoon Merge2015In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems / [ed] Lisa O’Conner, Los Alamitos: IEEE, 2015, p. 1971-1976, article id 7313411Conference paper (Refereed)
    Abstract [en]

    An interaction protocol for cooperative platoon merge on highways is proposed. The interaction protocol facilitates a challenge scenario for the Grand Cooperative Driving Challenge (GCDC) 2016, where two platoons running on separate lanes merge into one platoon due to a roadwork in one of the lanes. Detailed interaction procedures, described with state machines of each vehicle are presented. A communication message set is designed to support platoon controllers to perform safe and efficient manoeuvres. © 2015 IEEE.

  • 17.
    Bengtsson, Hoai Hoang
    et al.
    RISE, Swedish ICT, Viktoria.
    Chen, Lei
    RISE, Swedish ICT, Viktoria.
    Voronov, Alexey
    RISE, Swedish ICT, Viktoria.
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria. Halmstad University, Sweden.
    Interaction Protocol for Highway Platoon Merge2015In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015, p. 1971-1976, article id 7313411Conference paper (Refereed)
    Abstract [en]

    An interaction protocol for cooperative platoon merge on highways is proposed. The interaction protocol facilitates a challenge scenario for the Grand Cooperative Driving Challenge (GCDC) 2016, where two platoons running on separate lanes merge into one platoon due to a roadwork in one of the lanes. Detailed interaction procedures, described with state machines of each vehicle are presented. A communication message set is designed to support platoon controllers to perform safe and efficient manoeuvres.

  • 18. Bergenhem, Carl
    et al.
    Pettersson, Henrik
    Coelingh, Erik
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria.
    Shladover, Steven
    Tsugawa, Sadayuki
    Adolfsson, Magnus
    Overview of platooning systems2012In: Proceedings of the 19th ITS World Congress, 2012, p. 1-7Conference paper (Refereed)
    Abstract [en]

    This paper presents an overview of current projects that deal with vehicle platooning. The platooning concept can be defined as a collection of vehicles that travel together, actively coordinated in formation. Some expected advantages of platooning include increased fuel and traffic efficiency, safety and driver comfort. There are many variations of the details of the concept such as: the goals of platooning, how it is implemented, mix of vehicles, the requirements on infrastructure, what is automated (longitudinal and lateral control) and to what level. The following projects are presented: SARTRE – a European platooning project; PATH – a California traffic automation program that includes platooning; GCDC – a cooperative driving initiative, SCANIA platooning and; Energy ITS – a Japanese truck platooning project.

  • 19.
    Bergman, Lars
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Verikas, Antanas
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Kindberg, J.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Olsson, J.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Sjögren, B.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Modelling and Control of the Web-Fed Offset Newspaper Printing Press2003In: Proceedings of the Technical Association of the Graphic Arts, TAGA, Technical Association of the Graphic (TAGA) , 2003, p. 27-29Conference paper (Refereed)
    Abstract [en]

    We present an approach to modelling and controlling the web-fed offset printing process. An image processing and artificial neural networks based device is used to measure the printing process output - the observable variables. The observable variables are measured on halftone areas and integrate information about both ink densities and dot sizes. From only one measurement the device is capable of estimating the actual relative amount of each cyan, magenta, yellow, and black ink dispersed on paper in the measuring area. We build and test linear and non-linear printing press models using the measured variables andother parameters characterising the press. The observable variables measured and the press model developed are then further used by a control unit for generating control signals - signals for controlling the ink keys - to compensate for colour deviation. The experimental investigations performed have shown that the non-linear model developed is accurate enough to be used in a control loop for controlling the printing process. The control accuracy - the tracking accuracy of the desired ink level - obtained from the controller was higher than that observed when controlling the press by the operator.

  • 20.
    Borg, Markus
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Duran, Boris
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Traceability and Deep Learning: Safety-critical Systems with Traces Ending in Deep Neural Networks2017Conference paper (Other academic)
  • 21. Borg, Markus
    et al.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Wnuk, Krzysztof
    Blekinge Institute of Technology, Sweden.
    Duran, Boris
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Levandowski, Christoffer
    QRTECH AB, Sweden.
    Gao, Shenjian
    Blekinge Institute of Technology, Sweden.
    Tan, Yanwen
    Blekinge Institute of Technology, Sweden.
    Kaijser, Henrik
    AB Volvo, Sweden.
    Lönn, Henrik
    AB Volvo, Sweden.
    Törnqvist, Jonas
    QRTECH AB, Sweden.
    Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry2019In: Journal of Automotive Software Engineering, Vol. 1, no 1, p. 1-13Article in journal (Refereed)
    Abstract [en]

    Deep neural networks (DNNs) will emerge as a cornerstone in automotive software engineering. However, developing systems with DNNs introduces novel challenges for safety assessments. This paper reviews the state-of-the-art in verification and validation of safety-critical systems that rely on machine learning. Furthermore, we report from a workshop series on DNNs for perception with automotive experts in Sweden, confirming that ISO 26262 largely contravenes the nature of DNNs. We recommend aerospace-to-automotive knowledge transfer and systems-based safety approaches, for example, safety cage architectures and simulated system test cases.

  • 22. Chen, Lei
    et al.
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria.
    CHOREM: Choreographing services for emergency managemen2016In: ITS World Congress 2016, 2016Conference paper (Refereed)
  • 23.
    Chen, Lei
    et al.
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Englund, Cristofer
    Research Institutes of Sweden, RISE Viktoria, Gothenburg, Sweden.
    Choreographing services for smart cities: smart traffic demonstration2017In: Vehicular Technology Conference (VTC Spring), 2017 IEEE 85th, Sydney, Australia: IEEE, 2017Conference paper (Refereed)
    Abstract [en]

    With the fifth generation (5G) communication technologies on the horizon, the society is rapidly transformed into a fully connected world. The Future Internet (FI) is foreseeable to consist of an infinite number of software components and things that coordinate with each other to enable different applications. Transport systems, as one of the most important systems in future smart cities, will embrace the connectivity, together with the fast development of cooperative and automated vehicles to enable smart traffic. To facilitate this transformation, a service choreography composition platform is under development to enable fast innovation and prototyping of choreography-based Internet of Things (IoT) applications by automatically synthesizing choreographies. Based on the method, a smart traffic application is developed and demonstrated.

  • 24.
    Chen, Lei
    et al.
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Choreographing Services for Smart Cities: Smart Traffic Demonstration2017Conference paper (Refereed)
    Abstract [en]

    With the fifth generation (5G) communication technologies on the horizon, the society is rapidly transformed into a fully connected world. The Future Internet (FI) is foreseeable to consist of an infinite number of software components and things that coordinate with each other to enable different applications. Transport systems, as one of the most important systems in future smart cities, will embrace the connectivity, together with the fast development of cooperative and automated vehicles to enable smart traffic. To facilitate this transformation, a service choreography composition platform is under development to enable fast innovation and prototyping of choreography-based Internet of Things (IoT) applications by automatically synthesizing choreographies. Based on the method, a smart traffic application is developed and demonstrated.

  • 25.
    Chen, Lei
    et al.
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. Viktoria Swedish ICT, Gothenburg, Sweden & SAFER Vehicle and Traffic Safety Centre, Chalmers University of Technology, Gothenburg.
    Cooperative Intersection Management: A Survey2016In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 17, no 2, p. 570-586Article, review/survey (Refereed)
    Abstract [en]

    Intersection management is one of the most challenging problems within the transport system. Traffic light-based methods have been efficient but are not able to deal with the growing mobility and social challenges. On the other hand, the advancements of automation and communications have enabled cooperative intersection management, where road users, infrastructure, and traffic control centers are able to communicate and coordinate the traffic safely and efficiently. Major techniques and solutions for cooperative intersections are surveyed in this paper for both signalized and nonsignalized intersections, whereas focuses are put on the latter. Cooperative methods, including time slots and space reservation, trajectory planning, and virtual traffic lights, are discussed in detail. Vehicle collision warning and avoidance methods are discussed to deal with uncertainties. Concerning vulnerable road users, pedestrian collision avoidance methods are discussed. In addition, an introduction to major projects related to cooperative intersection management is presented. A further discussion of the presented works is given with highlights of future research topics. This paper serves as a comprehensive survey of the field, aiming at stimulating new methods and accelerating the advancement of automated and cooperative intersections. © 2015 IEEE.

  • 26. Chen, Lei
    et al.
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria. Halmstad University, Sweden; Chalmers University of Technology, Sweden.
    Cooperative Intersection Management: A Survey2016In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 17, no 2, p. 570-586, article id 7244203Article in journal (Refereed)
    Abstract [en]

    Intersection management is one of the most challenging problems within the transport system. Traffic light-based methods have been efficient but are not able to deal with the growing mobility and social challenges. On the other hand, the advancements of automation and communications have enabled cooperative intersection management, where road users, infrastructure, and traffic control centers are able to communicate and coordinate the traffic safely and efficiently. Major techniques and solutions for cooperative intersections are surveyed in this paper for both signalized and nonsignalized intersections, whereas focuses are put on the latter. Cooperative methods, including time slots and space reservation, trajectory planning, and virtual traffic lights, are discussed in detail. Vehicle collision warning and avoidance methods are discussed to deal with uncertainties. Concerning vulnerable road users, pedestrian collision avoidance methods are discussed. In addition, an introduction to major projects related to cooperative intersection management is presented. A further discussion of the presented works is given with highlights of future research topics. This paper serves as a comprehensive survey of the field, aiming at stimulating new methods and accelerating the advancement of automated and cooperative intersections.

  • 27. Chen, Lei
    et al.
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria.
    Cooperative ITS - EU standards to accelerate cooperative mobility2014In: 2014 International Conference on Connected Vehicles and Expo, ICCVE 2014, 2014, p. 681-686Conference paper (Refereed)
    Abstract [en]

    With intensive research and field operational tests over the intelligent transportation area and the advancements of information and communication technologies, intelligent transportation systems reach the stage of deployment. EU focuses on cooperative intelligent transportation systems and confirms the finalization of the first release of the standards, paving the way for deployment in the coming years. This paper presents the concept of EU's cooperative intelligent transportation systems and describes in detail the functional architecture, together with highlights of related standardsthat have been finalized in Release 1. Latest updates of the cooperative intelligent transportation systems are provided for both industry and academia, aiming at helping to accelerate cooperative mobility.

  • 28.
    Chen, Lei
    et al.
    Research Institutes of Sweden, RISE Viktoria, Lindholmspiren 3A, Gothenburg, 417 56, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management2018In: Journal of Advanced Transportation, ISSN 0197-6729, E-ISSN 2042-3195, p. 13-, article id 7592926Article in journal (Refereed)
    Abstract [en]

    Emergency management has long been recognized as a social challenge due to the criticality of the response time. In emergency situations such as severe traffic accidents, minimizing the response time, which requires close collaborations between all stakeholders involved and distributed intelligence support, leads to greater survival chance of the injured. However, the current response system is far from efficient, despite the rapid development of information and communication technologies. This paper presents an automated collaboration framework for emergency management that coordinates all stakeholders within the emergency response system and fully automates the rescue process. Applying the concept of multiaccess edge computing architecture, as well as choreography of the service oriented architecture, the system allows seamless coordination between multiple organizations in a distributed way through standard web services. A service choreography is designed to globally model the emergency management process from the time an accident occurs until the rescue is finished. The choreography can be synthesized to generate detailed specification on peer-to-peer interaction logic, and then the specification can be enacted and deployed on cloud infrastructures. © 2018 Lei Chen and Cristofer Englund.

  • 29.
    Chen, Lei
    et al.
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.
    Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management2018In: Journal of Advanced Transportation, ISSN 0197-6729, E-ISSN 2042-3195, Vol. 2018, article id 7592926Article in journal (Refereed)
    Abstract [en]

    Emergency management has long been recognized as a social challenge due to the criticality of the response time. In emergency situations such as severe traffic accidents, minimizing the response time, which requires close collaborations between all stakeholders involved and distributed intelligence support, leads to greater survival chance of the injured. However, the current response system is far from efficient, despite the rapid development of information and communication technologies. This paper presents an automated collaboration framework for emergency management that coordinates all stakeholders within the emergency response system and fully automates the rescue process. Applying the concept of multiaccess edge computing architecture, as well as choreography of the service oriented architecture, the system allows seamless coordination between multiple organizations in a distributed way through standard web services. A service choreography is designed to globally model the emergency management process from the time an accident occurs until the rescue is finished. The choreography can be synthesized to generate detailed specification on peer-to-peer interaction logic, and then the specification can be enacted and deployed on cloud infrastructures.

  • 30.
    Chen, Lei
    et al.
    RISE, Swedish ICT, Viktoria.
    Habibovic, Azra
    RISE, Swedish ICT, Viktoria.
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria. Halmstad University, Sweden.
    Voronov, Alexey
    RISE, Swedish ICT, Viktoria.
    Walter, Anders
    Swedish Road Administration, Sweden.
    Coordinating Dangerous Goods Vehicles: C-ITS Applications for Safe Road Tunnels2015In: 2015 IEEE Intelligent Vehicles Symposium (IV), 2015, p. 156-161, article id 7225679Conference paper (Refereed)
    Abstract [en]

    Despite the existing regulation efforts and measures, vehicles with dangerous goods still pose significant risks on public safety, especially in road tunnels. Solutions based on cooperative intelligent transportation system (C-ITS) are promising measures, however, they have received limited attention. We propose C-ITS applications that coordinate dangerous goods vehicles to minimize the risk by maintaining safe distances between them in road tunnels. Different mechanisms, including global centralized coordination, global distributed coordination, and local coordination, are proposed and investigated. A preliminary simulation is performed and demonstrates their effectiveness.

  • 31.
    Chen, Lei
    et al.
    Viktoria Swedish ICT, Göteborg, Sweden.
    Habibovic, Azra
    Viktoria Swedish ICT, Göteborg, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. Viktoria Swedish ICT, Göteborg, Sweden.
    Voronov, Alexey
    Viktoria Swedish ICT, Göteborg, Sweden.
    Walter, Anders Lindgren
    MTO Säkerhet, Swedish Road Administration, Stockholm Bypass Project, Stockholm, Sweden.
    Coordinating dangerous goods vehicles: C-ITS applications for safe road tunnels2015In: 2015 IEEE Intelligent Vehicles Symposium (IV), Piscataway, NJ: IEEE, 2015, p. 156-161, article id 7225679Conference paper (Refereed)
    Abstract [en]

    Despite the existing regulation efforts and measures, vehicles with dangerous goods still pose significant risks on public safety, especially in road tunnels. Solutions based on cooperative intelligent transportation system (C-ITS) are promising measures, however, they have received limited attention. We propose C-ITS applications that coordinate dangerous goods vehicles to minimize the risk by maintaining safe distances between them in road tunnels. Different mechanisms, including global centralized coordination, global distributed coordination, and local coordination, are proposed and investigated. A preliminary simulation is performed and demonstrates their effectiveness. © 2015 IEEE.

  • 32.
    Cristofer, Englund
    et al.
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Chen, Lei
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Lin, Shih-Yang
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Future Applications of VANETs2015In: Vehicular Ad Hoc Networks: Standards, Solutions, and Research / [ed] Claudia Campolo, Antonella Molinaro & Riccardo Scopigno, Cham: Springer Publishing Company, 2015, p. 525-544Chapter in book (Refereed)
    Abstract [en]

    Current transportation systems face great challenges due to the increasing mobility. Traffic accidents, congestion, air pollution, etc., are all calling for new methods to improve the transportation system. With the US legislation in progress over vehicle communications and EU’s finalization of the basic set of standards over cooperative intelligent transportation systems (C-ITS), vehicular ad hoc network (VANET) based applications are expected to address those challenges and provide solutions for a safer, more efficient and sustainable future intelligent transportation systems (ITS). In this chapter, transportation challenges are firstly summarized in respect of safety, efficiency, environmental threat, etc. A brief introduction of the VANET is discussed along with state of the art of VANET-based applications. Based on the current progress and the development trend of VANET, a number of new features of future VANET are identified, together with a set of potential future ITS applications. The on-going research and field operational test projects, which are the major enabling efforts for the future VANET-based C-ITS, are presented. The chapter is of great interest to readers working within ITS for current development status and future trend within the C-ITS area. It is also of interest to general public for an overview of the VANET enabled future transportation system. © Springer International Publishing Switzerland 2015.

  • 33.
    Duran, Boris
    et al.
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Englund, Cristofer
    RISE - Research Institutes of Sweden, ICT, Viktoria. Halmstad University, Sweden.
    Habobovic, Azra
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Andersson, Jonas
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Modeling vehicle behavior with neural dynamics2017Conference paper (Refereed)
    Abstract [en]

    Modeling the interaction of vehicles during certain traffic situations is the starting point for creating autonomous driving. Data collected from field trials where test subjects drive through a single-vehicle intersection was used to create behavioral models. The present work describes two implementations of models based on the dynamical systems approach and compares similarities and differences between them. The proposed models are designed to closely replicate the behavior selection in the intersection crossing experiment.

  • 34.
    Durán, Boris
    et al.
    RISE Viktoria, Gothenburg, Sweden.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. RISE Viktoria, Gothenburg, Sweden.
    Habobovic, Azra
    RISE Viktoria, Gothenburg, Sweden.
    Andersson, Jonas
    RISE Viktoria, Gothenburg, Sweden.
    Modeling vehicle behavior with neural dynamics2017In: Future Active Safety Technology - Towards zero traffic accidents, Nara, Japan, 2017Conference paper (Refereed)
    Abstract [en]

    Modeling the interaction of vehicles during certain traffic situations is the starting point for creating autonomous driving. Data collected from field trials where test subjects drive through a single-vehicle intersection was used to create behavioral models. The present work describes two implementations of models based on the dynamical systems approach and compares similarities and differences between them. The proposed models are designed to closely replicate the behavior selection in the intersection crossing experiment.

  • 35.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
    Modelling and controlling an offset lithographic printing process2007Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The objective of this thesis is to provide methods for print quality enhancements in an offset lithographic printing proess. Various parameters characterising the print quality are recognised, however, in this work print quality is defined as the deviation of the amount of ink in a sample image from the reference print.

    The methods developed are model-based and historical data collected at the printing press are used to build the models. Inherent in the historical process data are outliers owing to sensor faults, measurement errors and impurity of the material used. It is essential to detect and remove these outliers to avoid using them to update the process models. A process modelbased outlieer detection tool has been proposed. Several diagnostic measures are ombined via a neural network to achieve robust data categorisation into inlier and outlier classes.

    To cope with the slow variation in printing process data, a SOM-based data mining and adaptive modelling technique has been proposed. The technique continously updates the data set characterising the process and the process models if they become out-of-date. A SOM-based approach to model ombination has been proposed to permit the cration of adaptive - data dependet - committees.

    A multiple models-based controller, which employs the process models developed, is combined with an integrating controller to achieve robust ink feed control. Results have shown that the robust ink feed controller is capable of controlling the ink feed in the newspaper printing press according to the desired process output. Based on the process modelling, techniques have also been developed for initialising the printing press in order to reduce the time needed to achieve the desired print quality. The use of the developed methods and tools at a print shop in Halmstad, Sweden, resulted in higher print quality and lower ink and paper waste.

  • 36.
    Englund, Cristofer
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
    Modelling the offset lithographic printing process2006Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    A concept for data management and adaptive modelling of the offset lithographic printing process is proposed. Artificial neural networks built from historical process data are used to model the offset printing process aiming to develop tools for online ink flow control.

    Inherent in the historical data are outliers owing to sensor faults, measurement errors and impurity of the materials used. It is fundamental to identify outliers in process data in order to avoid using these data points for updating the model. In this work, a hybrid the process-model-network-based technique for outlier detection is proposed. Several diagnosti measures are aggregated via a neural network to categorize the data points into the oulier or inlier classes. Experimentally it was demonstrated that a fuzzy expert can be configured to label data for training the categorization neural network.

    A SOM based model combination strategy, allowing to create adaptive - data dependent - committees, is proposed to build models used for printing press initialization. Both, the number of models included into a committee and aggregation weights are specific for each input data point analyzed.

    The printing process is constantly changing due to wear, seasonal changes, duration of print jobs etc. Consequently, models trained on historical data become out of date with time and need to be updated. Therefore, a data mining and adaptive modelling approach has been propsed. The experimental investigations performed have shown that the tools developed can follow the process changes and make appropriate adaptations of the ata set and the process models. A low process modelling error has been obtained by employing data dependent committees.

  • 37.
    Englund, Cristofer
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. Viktoria Swedish ICT, Gothenburg, Sweden.
    Chen, Lei
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Ploeg, Jeroen
    Netherlands Organization for Applied Scientific Research TNO, Hague, Netherlands.
    Semsar-Kazerooni, Elham
    Netherlands Organization for Applied Scientific Research TNO, Hague, Netherlands.
    Voronov, Alexey
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Hoang Bengtsson, Hoai
    Viktoria Swedish ICT, Gothenburg, Sweden.
    Didoff, Jonas
    Viktoria Swedish ICT, Gothenburg, Sweden.
    The Grand Cooperative Driving Challenge 2016: Boosting the Introduction of Cooperative Automated Vehicles2016In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 23, no 4, p. 146-152Article in journal (Refereed)
    Abstract [en]

    The Grand Cooperative Driving Challenge (GCDC), with the aim to boost the introduction of cooperative automated vehicles by means of wireless communication, is presented. Experiences from the previous edition of GCDC, which was held in Helmond in the Netherlands in 2011, are summarized, and an overview and expectations of the challenges in the 2016 edition are discussed. Two challenge scenarios, cooperative platoon merge and cooperative intersection passing, are specified and presented. One demonstration scenario for emergency vehicles is designed to showcase the benefits of cooperative driving. Communications closely follow the newly published cooperative intelligent transport system standards, while interaction protocols are designed for each of the scenarios. For the purpose of interoperability testing, an interactive testing tool is designed and presented. A general summary of the requirements on teams for participating in the challenge is also presented.

  • 38.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Chen, Lei
    RISE, Swedish ICT, Viktoria.
    Ploeg, Jeroen
    TNO Netherlands Organization for Applied Scientific Research, Netherlands.
    Semsar-Kazerooni, Elham
    TNO Netherlands Organization for Applied Scientific Research, Netherlands.
    Voronov, Alexey
    RISE, Swedish ICT, Viktoria.
    Hoang Bengtsson, Hoai
    RISE, Swedish ICT, Viktoria.
    Didoff, Jonas
    RISE, Swedish ICT, Viktoria.
    The Grand Cooperative Driving Challenge (GCDC) 2016: boosting the introduction of Cooperative Automated Vehicles2016In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 23, no 4, p. 146-152Article in journal (Refereed)
    Abstract [en]

    The Grand Cooperative Driving Challenge (GCDC), with the aim to boost the introduction of cooperative automated vehicles by means of wireless communication, is presented. Experiences from the previous edition of GCDC, which was held in Helmond in the Netherlands in 2011, are summarized, and an overview and expectations of the challenges in the 2016 edition are discussed. Two challenge scenarios, cooperative platoon merge and cooperative intersection passing, are specified and presented. One demonstration scenario for emergency vehicles is designed to showcase the benefits of cooperative driving. Communications closely follow the newly published cooperative intelligent transport system standards, while interaction protocols are designed for each of the scenarios. For the purpose of interoperability testing, an interactive testing tool is designed and presented. A general summary of the requirements on teams for participating in the challenge is also presented.

  • 39.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Chen, Lei
    RISE, Swedish ICT, Viktoria.
    Vinel, A
    Shih Yang, L
    Future Applications of VANETs2015In: Vehicular ad hoc Networks: Standards, Solutions, and Research, Part V / [ed] Claudia Campolo, Antonella Molinaro, Riccardo Scopigno, Springer Publishing Company, 2015, p. 525-544Chapter in book (Other academic)
    Abstract [en]

    Current transportation systems face great challenges due to the increasing mobility. Traffic accidents, congestion, air pollution, etc., are all calling for new methods to improve the transportation system. With the US legislation in progress over vehicle communications and EU’s finalization of the basic set of standards over cooperative intelligent transportation systems (C-ITS), vehicular ad hoc network (VANET) based applications are expected to address those challenges and provide solutions for a safer, more efficient and sustainable future intelligent transportation systems (ITS). In this chapter, transportation challenges are firstly summarized in respect of safety, efficiency, environmental threat, etc. A brief introduction of the VANET is discussed along with state of the art of VANET-based applications. Based on the current progress and the development trend of VANET, a number of new features of future VANET are identified, together with a set of potential future ITS applications. The on-going research and field operational test projects, which are the major enabling efforts for the future VANET-based C-ITS, are presented. The chapter is of great interest to readers working within ITS for current development status and future trend within the C-ITS area. It is also of interest to general public for an overview of the VANET enabled future transportation system.

  • 40.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Chen, Lei
    Voronov, Alexey
    Cooperative speed harmonization for efficient road utilization2014In: Nets4Cars, 2014Conference paper (Other academic)
  • 41.
    Englund, Cristofer
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. RISE Viktoria, Gothenburg, Sweden.
    Didoff, Jonas
    RISE Viktoria, Gothenburg, Sweden.
    Wahlström, Björn
    Swedish Aviation Services, Norrköping, Sweden.
    A new method for ground vehicle access control and situation awareness: experiences from a real-life implementation at an airport2017Conference paper (Refereed)
    Abstract [en]

    To improve safety in complex traffic situations, access control can be applied. This paper presents a generic vehicle access control method for improved situation awareness. The method concerns three main steps (i) zones definition (ii) rules to manage access and (iii) situation awareness based on realtime position monitoring. The proposed system consists of a server where the access zones and rules are stored and mobile units providing position data to the server and information to the driver. At the control center a client control unit is used to provide improved situation awareness by monitoring and visualizing the positions of the clients in the vehicles. The client in the control center is also utilized to give access to the clients in the vehicles that request access. The system has been demonstrated at an airport to grant access for ground vehicles to enter the runway and has since been developed into a commercial product by an industrial supplier. It was introduced at the World ATM Congress in Madrid in March of 2017. The server system is implemented as a cloud service in Microsoft Azure, the control client uses a WACOM CINTIQ touch screen computer for interaction and the vehicle clients are off-the-shelf Samsung Android units paired with Trimble R1GNSS receiver and 4G mobile communication between the server and the clients.

  • 42.
    Englund, Cristofer
    et al.
    RISE Viktoria, Gothenburg, Sweden.
    Engdahl, Henrik
    Nimling AB, Askim, Sweden.
    Habibi, Shiva
    Chalmers University of Technology, Gothenburg, Sweden.
    Pettersson, Stefan
    RISE Viktoria, Gothenburg, Sweden.
    Sprei, Frances
    Chalmers University of Technology, Gothenburg, Sweden.
    Voronov, Alexey
    RISE Viktoria, Gothenburg, Sweden.
    Wedlin, Johan
    RISE Viktoria, Gothenburg, Sweden.
    Method for prediction of Utilization Rate of Electric Vehicle Free-Floating Car Sharing Services using Data Mining2018In: 31st International Electric Vehicles Symposium & Exhibition (EVS 31) & International Electric Vehicle Technology Conference 2018 (EVTeC 2018), 2018Conference paper (Refereed)
    Abstract [en]

    Free-floating car sharing is a form of car rental used by people for short periods of time where the cars can be picked up and returned anywhere within a given area. In this paper, we have collected free-floating car sharing data, for electric as well as fossil fueled cars, and data regarding e.g. size of the city, number of cars in the service, etc. The utilization rates of the free-floating car sharing services vary much between the cities, greatly influencing the success of the services. This paper presents the most important factors influencing the utilization rate, and also a methodology to predict the utilization rate for new cities, using data mining based on Random Forests.© EVS 31 & EVTeC 2018.

  • 43.
    Englund, Cristofer
    et al.
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Engdahl, Henrik
    Nimling AB, Sweden.
    Habibi, Shiva
    Chalmers University of Technolgoy, Sweden.
    Pettersson, Stefan
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Sprei, Frances
    Chalmers University of Technolgoy, Sweden.
    Voronov, Alexey
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Wedlin, Johan
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Method for prediction of Utilization Rate of Electric Vehicle Free-Floating Car Sharing Services using Data Mining2018Conference paper (Other academic)
    Abstract [en]

    Free-floating car sharing is a form of car rental used by people for short periods of time where the cars can be picked up and returned anywhere within a given area. In this paper, we have collected free-floating car sharing data, for electric as well as fossil fueled cars, and data regarding e.g. size of the city, number of cars in the service, etc. The utilization rates of the free-floating car sharing services vary much between the cities, greatly influencing the success of the services. This paper presents the most important factors influencing the utilization rate, and also a methodology to predict the utilization rate for new cities, using data mining based on Random Forests.

  • 44.
    Englund, Cristofer
    et al.
    RISE Viktoria, Göteborg, Sweden.
    Estrada, John
    eTrans Systems, Fairfax, USA.
    Jaaskelainen, Juhani
    MH Roine Consulting, Helsinki, Finland.
    Meisner, Jim
    Qualcomm Technologies Inc., San Diego, USA.
    Satyavolu, Surya
    Sirab Technologies Inc., Novato, USA.
    Serna, Frank
    Draper Laboratory, 555 Technology Square, Cambridge, USA.
    Sundararajan, Sudharson
    Booz Allen Hamilton Inc., Washington, USA.
    Enabling Technologies for Road Vehicle Automation2017In: Road Vehicle Automation 4 / [ed] Meyer G. & Beiker S., Leiden: VSP , 2017, p. 177-185Chapter in book (Refereed)
    Abstract [en]

    Technology is to a large extent driving the development of road vehicle automation. This Chapter summarizes the general overall trends in the enabling technologies within this field that were discussed during the Enabling technologies for road vehicle automation breakout session at the Automated Vehicle Symposium 2016. With a starting point in six scenarios that have the potential to be deployed at an early stage, five different categories of emerging technologies are described: (a) positioning, localization and mapping (b) algorithms, deep learning techniques, sensor fusion guidance and control (c) hybrid communication (d) sensing and perception and (e) technologies for data ownership and privacy. It is found that reliability and extensive computational power are the two most common challenges within the emerging technologies. Furthermore, cybersecurity binds all technologies together as vehicles will be constantly connected. Connectivity allows both improved local awareness through vehicle-to-vehicle communication and it allows continuous deployment of new software and algorithms that constantly learns new unforeseen objects or scenarios. Finally, while five categories were individually considered, further holistic work to combine them in a systems concept would be the important next step toward implementation. © Springer International Publishing AG 2018

  • 45.
    Englund, Cristofer
    et al.
    RISE - Research Institutes of Sweden, ICT, Viktoria.
    Estrada, John
    eTrans Systems, USA.
    Jaaskelainen, Juhani
    MH Roine Consulting, Finland.
    Misener, John
    Qualcomm Technologies Inc, USA.
    Satyavolu, Surya
    Serna, Frank
    Draper Laboratory, USA.
    Sundararajan, Sudharson
    Booz Allen Hamilton Inc, USA.
    Enabling Technologies for Road Vehicle Automation2017In: Road Vehicle Automation 4: (Part of the Lecture Notes in Mobility book series (LNMOB)) / [ed] Gereon Meyer, Sven Beiker, Springer, 2017, p. 177-185Chapter in book (Other academic)
    Abstract [en]

    Technology is to a large extent driving the development of road vehicle automation. This Chapter summarizes the general overall trends in the enabling technologies within this field that were discussed during the Enabling technologies for road vehicle automation breakout session at the Automated Vehicle Symposium 2016. With a starting point in six scenarios that have the potential to be deployed at an early stage, five different categories of emerging technologies are described: (a) positioning, localization and mapping (b) algorithms, deep learning techniques, sensor fusion guidance and control (c) hybrid communication (d) sensing and perception and (e) technologies for data ownership and privacy. It is found that reliability and extensive computational power are the two most common challenges within the emerging technologies. Furthermore, cybersecurity binds all technologies together as vehicles will be constantly connected. Connectivity allows both improved local awareness through vehicle-to-vehicle communication and it allows continuous deployment of new software and algorithms that constantly learns new unforeseen objects or scenarios. Finally, while five categories were individually considered, further holistic work to combine them in a systems concept would be the important next step toward implementation.

  • 46.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Kovaceva, Jordanka
    Lindman, Magdalena
    Grönvall, John-Fredrik
    Using random forests for data mining data and drowsy driver classification using FOT data2012In: Proceedings of On the Move to Meaningful Internet Systems: OTM 2012, 2012, Vol. 5766, p. 748-758Conference paper (Refereed)
  • 47.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Lidström, Kristoffer
    Nilsson, Josef
    RISE, SP – Sveriges Tekniska Forskningsinstitut, SP Elektronik, Pålitliga system.
    On the need for standardized representations of cooperative vehicle behavior2013In: Proceedings of the Second International Symposium on Future Active Safety Technology toward zero-traffic-accident,, JSAE, Society of Automotive engineers of Japan , 2013Conference paper (Other academic)
  • 48.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Nilsson, Josef
    Lidström, Kristoffer
    Cooperative ITS application development through semantic standardization2013In: FASTZero 2013, 2013Conference paper (Refereed)
  • 49.
    Englund, Cristofer
    et al.
    RISE, Swedish ICT, Viktoria.
    Nilsson, Maria
    RISE, Swedish ICT, Viktoria.
    Voronov, Alexey
    RISE, Swedish ICT, Viktoria.
    The application of data mining techniques to model visual distraction of bicyclists2016In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 52, p. 99-107Article in journal (Refereed)
    Abstract [en]

    This paper presents a novel approach to modelling visual distraction of bicyclists. A unique bicycle simulator equipped with sensors capable of capturing the behaviour of the bicyclist is presented. While cycling two similar scenario routes, once while simultaneously interacting with an electronic device and once without any electronic device, statistics of the measured speed, head movements, steering angle and bicycle road position along with questionnaire data are captured. These variables are used to model the self-assessed distraction level of the bicyclist. Data mining techniques based on random forests, support vector machines and neural networks are evaluated for the modelling task. Out of the total 71 measured variables a variable selection procedure based on random forests is able to select a fraction of those and consequently improving the modelling performance. By combining the random forest-based variable selection and support vector machine-based modelling technique the best overall performance is achieved. The method shows that with a few observable variables it is possible to use machine learning to model, and thus predict, the distraction level of a bicyclist.

  • 50.
    Englund, Cristofer
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
    Verikas, Antanas
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
    A hybrid approach to outlier detection in the offset lithographic printing process2005In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 18, no 6, p. 759-768Article in journal (Refereed)
    Abstract [en]

    Artificial neural networks are used to model the offset printing process aiming to develop tools for on-line ink feed control. Inherent in the modelling data are outliers owing to sensor faults, measurement errors and impurity of materials used. It is fundamental to identify outliers in process data in order to avoid using these data points for updating the model. We present a hybrid, the process-model-network-based technique for outlier detection. The outliers can then be removed to improve the process model. Several diagnostic measures are aggregated via a neural network to categorize data points into the outlier and inlier classes. We demonstrate experimentally that a soft fuzzy expert can be configured to label data for training the categorization of neural network.

12 1 - 50 of 99
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