Skip to Main content Skip to Navigation
New interface
Reports (Research report)

Evaluating Risk at Road Intersections by Detecting Conflicting Intentions

Stéphanie Lefèvre 1, 2 Christian Laugier 1 Javier Ibañez-Guzmán 2 
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
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.
Document type :
Reports (Research report)
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Stéphanie Lefèvre Connect in order to contact the contributor
Submitted on : Tuesday, March 13, 2012 - 10:14:36 AM
Last modification on : Thursday, October 27, 2022 - 4:02:42 AM
Long-term archiving on: : Thursday, June 14, 2012 - 5:51:02 PM


Files produced by the author(s)


  • HAL Id : hal-00678482, version 1


Stéphanie Lefèvre, Christian Laugier, Javier Ibañez-Guzmán. Evaluating Risk at Road Intersections by Detecting Conflicting Intentions. [Research Report] RR-7904, INRIA. 2012. ⟨hal-00678482⟩



Record views


Files downloads