A survey on motion prediction and risk assessment for intelligent vehicles

With the objective to improve road safety, the automotive industry is moving toward more “intelligent” vehicles. One of the major challenges is to detect dangerous situations and react accordingly in order to avoid or mitigate accidents. This requires predicting the likely evolution of the current t...

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Bibliographic Details
Published in:ROBOMECH journal 2014-07, Vol.1 (1), Article 1
Main Authors: Lefèvre, Stéphanie, Vasquez, Dizan, Laugier, Christian
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computational Intelligence
Computer Science
Control and Systems Theory
Engineering
Mechatronics
Review
Robotics and Automation
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Summary:With the objective to improve road safety, the automotive industry is moving toward more “intelligent” vehicles. One of the major challenges is to detect dangerous situations and react accordingly in order to avoid or mitigate accidents. This requires predicting the likely evolution of the current traffic situation, and assessing how dangerous that future situation might be. This paper is a survey of existing methods for motion prediction and risk assessment for intelligent vehicles. The proposed classification is based on the semantics used to define motion and risk. We point out the tradeoff between model completeness and real-time constraints, and the fact that the choice of a risk assessment method is influenced by the selected motion model.
ISSN:2197-4225
2197-4225
DOI:10.1186/s40648-014-0001-z