Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective

This letter reports on a TIV DHW (decentralized and hybrid workshop) that explores the prospective influence of ChatGPT on research and development in intelligent vehicles. To assess the update capabilities of ChatGPT, the authors conducted tests involving both basic and technically relevant questions. The authors' preliminary testing revealed that ChatGPT's information can be updated and corrected at one time, but it may take some time for the changes to be reflected in ChatGPT's responses, so it may not always possess the latest knowledge regarding specific topics. The authors further discuss the prospective influence of ChatGPT on the field of intelligent vehicles, particularly possible applications of ChatGPT in areas like autonomous driving, human-vehicle interaction, and intelligent transportation systems, highlighting challenges and opportunities associated with these applications. Additionally, the authors address technical questions, such as the feasibility of training intelligent vehicles using the same methods as ChatGPT and the reflection of the intelligence of intelligent vehicles in the context of human-machine shared control. In conclusion, this letter presents a preliminary exploration of the potential of ChatGPT for intelligent vehicle research, from an IEEE TIV perspective, acknowledging the limitations and uncertainties of this emerging technology.

• Record URL:
  http://dx.doi.org/10.1109/TIV.2023.3253281
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23798858
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Du, Haiping
  • Teng, Siyu
  • Chen, Hong
  • Ma, Jiaqi
  • Wang, Xiao
  • 0000-0002-0008-0659
  • Gou, Chao
  • Li, Bai
  • Ma, Siji
  • Miao, Qinghai
  • Na, Xiaoxiang
  • Ye, Peijun
  • Zhang, Hui
  • Luo, Guiyang
  • Wang, Fei-Yue
• Publication Date: 2023-3

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 2020-2026
• Serial:
  • IEEE Transactions on Intelligent Vehicles
  • Volume: 8
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 2379-8858
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7274857

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Human machine systems; Intelligent transportation systems; Internet of things; Machine learning; Uncertainty
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01900058
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 20 2023 9:12AM