Retraction Notice: HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer
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.
Authors
- Ming Yang (ORCID: https://orcid.org/0000-0002-8679-9137)
- Jianru Xue (ORCID: https://orcid.org/0000-0002-4994-9343)
- Xin Xu (ORCID: https://orcid.org/0000-0003-3238-745X)
- Jian Pu (ORCID: https://orcid.org/0000-0002-0892-1213)
- Junping Zhang (ORCID: https://orcid.org/0000-0002-5924-3360)
- Xiao Wang (ORCID: https://orcid.org/0000-0002-0008-0659)
- Fei‐Yue Wang (ORCID: https://orcid.org/0000-0001-9185-3989)
Institutions
- Anhui University (CN)
- National University of Defense Technology (CN)
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- Shanghai Institute for Science of Science (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- University of Chinese Academy of Sciences (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Vehicles
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/tiv.2024.3502094
- Citations
- 2
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.64