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A Comparison of autonomous vehicle navigation simulators under regulatory and reinforcement learning constraints

Author
Cabañeros, A.; Angulo, C.
Type of activity
Presentation of work at congresses
Name of edition
CCIA 2019 - 22nd International Conference of the Catalan Association for Artificial Intelligence
Date of publication
2019
Presentation's date
2019-10-24
Book of congress proceedings
Artificial Intelligence Research and Development vol. 319
First page
115
Last page
124
DOI
10.3233/FAIA190114
Repository
http://hdl.handle.net/2117/171187 Open in new window
URL
http://ebooks.iospress.nl/volumearticle/52827 Open in new window
Abstract
The transition from conventional vehicles to autonomous vehicles is regulated thorough ADAS (Advanced Driver Assistance Systems) functionalities. The combination of different ADAS functions allows vehicles navigate on a highway autonomously, but at the same time, following the traffic rules and regulations requirements, and also guaranteeing safety on the road. The practical objective in this article is to implement a Reinforcement Learning method whose actions are based in these regulated funct...
Keywords
ADAS, Autonomous vehicle, Policy gradient, Regulation, Reinforcement learning
Group of research
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants