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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lefevre, S. Laugier, C. Ibanez-Guzman, J. |
| Copyright Year | 2012 |
| Description | Author affiliation: Renault S.A.S., 1 av. du Golf, 78288 Guyancourt, France (Ibanez-Guzman, J.) || Inria Grenoble Rhône-Alpes, 655 av. de l'Europe - Montbonnot, 38334 Saint Ismier Cedex, France (Lefevre, S.; Laugier, C.) |
| Abstract | This paper 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. Driver intentions and expectations are estimated from the joint motion of the vehicles, taking into account the layout of the intersection and the traffic rules at the intersection. The proposed approach was evaluated in simulation with two vehicles involved in typical collision scenarios. An analysis of the collision prediction horizon allows to characterize the efficiency of the approach in different situations, as well as the potential of different strategies to avoid an accident after a dangerous situation is detected. |
| Starting Page | 4841 |
| Ending Page | 4846 |
| File Size | 765320 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467317375 |
| ISSN | 21530858 |
| e-ISBN | 9781467317368 |
| DOI | 10.1109/IROS.2012.6385491 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-07 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Trajectory Roads Accidents Computational modeling Risk management Hidden Markov models |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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