Multiple Criteria-Based Real-Time Decision Making by Autonomous City Vehicles
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This paper addresses the topic of real-time decision making for autonomous city vehicles, i.e. the autonomous vehicles' ability to make appropriate driving decisions in city road traffic situations. After decomposing the problem into two consecutive decision making stages, and giving a short overview about previous work, the paper explains how Multiple Criteria Decision Making (MCDM) can be used in the process of selecting the most appropriate driving maneuver.
Proceedings of the 7th IFAC Symposium on Intelligent Autonomous Vehicles IAV 2010
© 2010 IFAC-PapersOnLine. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
Control Systems, Robotics and Automation