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Traffic Situation Estimator for Adaptive CruiseControl
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

The Traffic Situation Estimator is a method that analyses vehicle behaviour by monitoring and counting the surrounding traffic. This is done with image analysis that keepstrack of several vehicles through consecutive frames under good lightning conditionson a straight one way road. The behaviour of the detected vehicles is then analysedin a state machine driven counter to estimate the traffic rhythm and determine if thedetected vehicles are approaching, getting away, have been overtaken or have overtakenthe ego-vehicle. Depending on the result the Traffic Situation Estimator suggest different reactions helping the driver to follow the traffic rhythm which will improve safetyand the energy efficiency. If the user is not following the traffic rhythm the applicationwill give advice to the user how to adapt to the traffic rhythm by driving faster, sloweror optionally suggest to overtake vehicles ahead.

Place, publisher, year, edition, pages
2015. , 58 p.
Keyword [en]
computer vision, vehicle detection, intelligent driverassistance systems, ACC
National Category
Engineering and Technology
URN: urn:nbn:se:hh:diva-30075OAI: diva2:885905
Subject / course
Computer science and engineering; Computer science and engineering
Available from: 2016-01-07 Created: 2015-12-21 Last updated: 2016-01-07Bibliographically approved

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