Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios
Conference Paper
(2019)
Author(s)
Mario Garzón (Université Grenoble Alpes)
Anne Spalanzani (Université Grenoble Alpes)
Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/ITSC.2019.8917314
Final published version
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Publication Year
2019
Language
English
Affiliation
External organisation
Article number
8917314
Pages (from-to)
3448-3453
ISBN (electronic)
9781538670248
Event
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (2019-10-27 - 2019-10-30), Auckland, New Zealand
Downloads counter
174
Abstract
This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle's movements.