A Survey On Motion Prediction and Risk Assessment for Intelligent Vehicles¶
Authors: Stéphanie Lefèvre, Dizan Vasquez, Christian Laugier
Published: 2014 (Journal Paper)
Source: ROBOMECH Journal
DOI: 10.1186/s40648-014-0001-z
Summary¶
Surveys motion prediction and risk assessment methods for intelligent vehicles, organizing approaches into three categories - physics-based, maneuver-based, and interaction-aware - and reviewing how predicted trajectories are used to compute collision risk for safety applications.
Abstract¶
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.
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Tags¶
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Motion prediction
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Risk assessment
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Intelligent vehicles
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Survey
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Physics-based prediction
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Maneuver-based prediction
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Interaction-aware prediction