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A summary of the SIGHT project - Evaluation of sensors for obstacle detection
RISE - Research Institutes of Sweden, Safety and Transport, Electronics.
RISE - Research Institutes of Sweden, Safety and Transport, Electronics.
Örebro University, Sweden.
2017 (English)Report (Other academic)
Abstract [en]

Mobile machinery in forestry, mining and construction, need the ability to detect obstacles in their surroundings. By detecting and then avoid these obstacles, safety will be increased both for the operator of the machine and for the people in the risk area. Also, it allows groups of autonomous vehicles to interact with each other in an unpredictable environment. An increased level of automation also means more efficient production, reduces vehicle wear and reduced fuel consumption.

Atlas Copco Rock Drills, Komatsu Forest and Volvo CE, together with Örebro University, Luleå University of Technology, SP Technical Research Institute, Robotdalen and Association Heavy Vehicles, cooperates in this project to evaluate the sensors with the goal of creating the machine ability Obstacle detection.

A single sensor alone is not expected to fulfil the safety requirements. Research is needed to develop sensor systems - combination of two or more sensor technologies.

Place, publisher, year, edition, pages
2017. , p. 28
Series
RISE Rapport ; 2017:46
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32412ISBN: 978-91-88695-10-9 (electronic)OAI: oai:DiVA.org:ri-32412DiVA, id: diva2:1153772
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2017-12-05Bibliographically approved

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CiteExportLink to record
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Output format
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