Camara, F, Dickinson, P, Merat, N et al. (1 more author) (2019) Towards game theoretic AV controllers: measuring pedestrian behaviour in Virtual Reality. In: Proceedings of TCV2019: Towards Cognitive Vehicles. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), 03-08 Nov 2019, Macau, China. IROS , pp. 7-10.
Abstract
Understanding pedestrian interaction is of great importance for autonomous vehicles (AVs). The present study investigates pedestrian behaviour during crossing scenarios with an autonomous vehicle using Virtual Reality. The self-driving car is driven by a game theoretic controller which adapts its driving style to pedestrian crossing behaviour. We found that subjects value collision avoidance about 8 times more than saving 0.02 seconds. A previous lab study found time saving to be more important than collision avoidance in a highly unrealistic board game style version of the game. The present result suggests that the VR simulation reproduces real world road-crossings better than the lab study and provides a reliable test-bed for the development of game theoretic models or AVs.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This is an author produced version of a paper published in Proceedings of TCV2019: Towards Cognitive Vehicles. |
Keywords: | Autonomous Vehicles; Game Theory; Cognitive architectures for action selection; Pedestrian Behaviour |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Funding Information: | Funder Grant number EU - European Union 723395 |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Feb 2020 12:40 |
Last Modified: | 21 Feb 2020 17:38 |
Published Version: | https://cogvehicles2019.github.io/ |
Status: | Published |
Publisher: | IROS |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157461 |