Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Abstract
Autonomous vehicles have a great potential in the application of both civil and military fields, and have become the focus of research with the rapid development of science and economy. This article proposes a brief review on learning-based decision-making technology for autonomous vehicles since it is significant for safer and efficient performance of autonomous vehicles. Firstly, the basic outline of decision-making technology is provided. Secondly, related works about learning-based decision-making methods for autonomous vehicles are mainly reviewed with the comparison to classical decision-making methods. In addition, applications of decision-making methods in existing autonomous vehicles are summarized. Finally, promising research topics in the future study of decision-making technology for autonomous vehicles are prospected.
Cite
@article{arxiv.2107.01110,
title = {Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook},
author = {Qi Liu and Xueyuan Li and Shihua Yuan and Zirui Li},
journal= {arXiv preprint arXiv:2107.01110},
year = {2021}
}
Comments
8 pages, 1 figure, 5 tables, ITSC2021(accepted)