Camara, F orcid.org/0000-0002-2655-1228 and Fox, C orcid.org/0000-0002-6695-8081
(2020)
Game Theory For Self-Driving Cars.
In:
UKRAS20 Conference: “Robots into the real world” Proceedings.
UKRAS20 Conference: “Robots into the real world”, 17 Apr 2020, Online.
Abstract
Pedestrian behaviour understanding is of utmost importance for autonomous vehicles (AVs). Pedestrian behaviour is complex and harder to model and predict than other road users such as drivers and cyclists. In this paper, we present an overview of our ongoing work on modelling AV-human interactions using game theory for autonomous vehicles control.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | This is protected by copyright. All rights reserved. This is an author produced version of a conference paper presented at UKRAS20 Conference :‘Robots into the Real World‘. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Funding Information: | Funder Grant number EU - European Union 723395 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Apr 2020 11:27 |
Last Modified: | 04 Nov 2020 15:24 |
Published Version: | https://www.ukras.org/publications/ras-proceedings... |
Status: | Published |
Identification Number: | 10.31256/Sk9Zg2D |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159638 |