Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios

Conference paper (2019)

Authors

Mario Garzon Garzon Université Grenoble Alpes
Anne Spalanzani Université Grenoble Alpes
Affiliation
External organisation
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Published Date

2019-10

Language

English

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Affiliation

External organisation

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.

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