Evaluating Risk at Road Intersections by Detecting Conflicting Intentions

Abstract : This work proposes a novel approach to risk assessment at road intersections. Unlike most approaches in the literature, it does not rely on trajectory prediction. Instead, dangerous situations are identified by comparing what drivers intend to do with what they are expected to do. What a driver intends to do is estimated from the motion of the vehicle, taking into account the layout of the intersection. What a driver is expected to do is derived from the current configuration of the vehicles and the traffic rules at the intersection. The proposed approach was validated in simulation and in field experiments using passenger vehicles and Vehicle-to-Vehicle communication. Different strategies are compared to actively avoid collisions if a dangerous situation is detected. The results show that the effectiveness of the strategies varies with the situation.
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Submitted on : Tuesday, March 13, 2012 - 10:14:36 AM
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Stéphanie Lefèvre, Christian Laugier, Javier Ibañez-Guzmán. Evaluating Risk at Road Intersections by Detecting Conflicting Intentions. [Research Report] RR-7904, INRIA. 2012. ⟨hal-00678482⟩

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