Real time trajectory prediction for collision risk estimation between vehicles

Abstract : In this paper, we present our approach for collision risk estimation between vehicles. The vehicles are equipped with GPS receivers and communication devices. Our approach consists on using the knowledge given trough communication tool to predict the trajectories of the surrounding vehicles. Based on these trajectories, we identify the configurations of the collisions between vehicles. The risk is calculated using several indicators that are reflecting not only the possible collisions but also the dangerousness of these collisions. Our algorithm is tested on crossroads using scenarios involving real prototypes producing realistic scenarios
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Communication dans un congrès
ICCP 2009, Aug 2009, CLUJ NAPOCA, Romania. 2009
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https://hal.inria.fr/inria-00438624
Contributeur : Samer Ammoun <>
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Dernière modification le : jeudi 2 août 2018 - 12:02:05
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  • HAL Id : inria-00438624, version 1

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Samer Ammoun, Fawzi Nashashibi. Real time trajectory prediction for collision risk estimation between vehicles. ICCP 2009, Aug 2009, CLUJ NAPOCA, Romania. 2009. 〈inria-00438624〉

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