Enabling safe autonomous driving in real-world city traffic using multiple criteria decision making
Furda, Andrei & Vlacic, Ljubo (2011) Enabling safe autonomous driving in real-world city traffic using multiple criteria decision making. IEEE Intelligent Transportation Systems Magazine, 3(1), pp. 4-17.
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. The paper explains the overall controls system architecture, the decision making task decomposition, and focuses on how Multiple Criteria Decision Making (MCDM) is used in the process of selecting the most appropriate driving maneuver from the set of feasible ones. Experimental tests show that MCDM is suitable for this new application area.
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|Item Type:||Journal Article|
|Keywords:||Autonomous vehicles, Multiple Criteria Decision Making (MCDM), Control systems architecture|
|Divisions:||Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2011 IEEE|
|Copyright Statement:||Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.|
|Deposited On:||29 May 2014 22:44|
|Last Modified:||21 Sep 2014 23:13|
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