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HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer

  • Junping Zhang
  • , Jian Pu
  • , Jianru Xue
  • , Ming Yang
  • , Xin Xu
  • , Xiao Wang
  • , Fei Yue Wang
  • Fudan University
  • Shanghai Jiao Tong University
  • National University of Defense Technology
  • Anhui University
  • University of Chinese Academy of Sciences

科研成果: 期刊稿件文章同行评审

72 引用 (Scopus)

摘要

Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention in the academies and industries because of its powerful conversational ability with human and its astonishing emergence ability such as admit mistakes, reject inappropriate problems. However, it is not easy to generalize ChatGPT into the field of intelligent vehicles because of its high computational cost, uncertain answers and decisions, and the difficulty of scenario generation for intelligent vehicles. To address these issues, we propose a novel framework, human-machine-augmented intelligent vehicles with generative pre-trained transformer. Under this framework, we discuss the potential, prospects, limitations and several typical applications of HiVeGPT in the domain of intelligent vehicles.

源语言英语
页(从-至)2027-2033
页数7
期刊IEEE Transactions on Intelligent Vehicles
8
3
DOI
出版状态已出版 - 1 3月 2023

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