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Driver intent inference at urban intersections using the intelligent driver model

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4 Author(s)
Martin Liebner ; BMW Group, Research and Technology, D-80788 Munich, Germany ; Michael Baumann ; Felix Klanner ; Christoph Stiller

Predicting turn and stop maneuvers of potentially errant drivers is a basic requirement for advanced driver assistance systems for urban intersections. Previous work has shown that an early estimate of the driver's intent can be inferred by evaluating the vehicle's speed during the intersection approach. In the presence of a preceding vehicle, however, the velocity profile might be dictated by car-following behaviour rather than by the need to slow down before doing a left or right turn. To infer the driver's intent under such circumstances, a simple, real-time capable approach using an explicit model to represent both car-following and turning behaviour is proposed. Models for typical turning behavior are extracted from real world data. Preliminary results based on a Bayes net classification are presented.

Published in:

Intelligent Vehicles Symposium (IV), 2012 IEEE

Date of Conference:

3-7 June 2012