Huang, A and Nitschke, G (2020) Automating Coordinated Autonomous Vehicle Control, Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020).
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Abstract
Recently there has been increasing academic and industry research attention on producing adaptive control systems for autonomous vehicles. To accommodate such autonomous vehicles there have been proposals that current road and highway infrastructure undergo significant changes. For example, replacing traffic lights and stop signs and allowing autonomous vehicles to coordinate their own interactions so as to avoid collisions and safely navigate through intersections. One approach is to design vehicle controllers such that desired multi-agent behaviors (coordinated driving behaviors) are automatically synthesized for vehicles driving on any given road network.
| Item Type: | Conference paper |
|---|---|
| Subjects: | Computing methodologies > Machine learning |
| Date Deposited: | 03 Dec 2021 11:08 |
| Last Modified: | 03 Dec 2021 11:08 |
| URI: | https://pubs.cs.uct.ac.za/id/eprint/1481 |
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