Semantic Scholar Open Access 2021 82 sitasi

Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook

Qi Liu Xueyuan Li Shihua Yuan Zirui Li

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (4)

Qi Liu

Xueyuan Li

Shihua Yuan

Zirui Li

Format Sitasi

APA MLA BibTeX

Liu, Q., Li, X., Yuan, S., Li, Z. (2021). Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook. https://doi.org/10.1109/ITSC48978.2021.9564580

Akses Cepat

Lihat di Sumber doi.org/10.1109/ITSC48978.2021.9564580

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 82×
Sumber Database: Semantic Scholar
DOI: 10.1109/ITSC48978.2021.9564580
Akses: Open Access ✓