VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation
文献类型：期刊论文
| 作者 | Tian, Yonglin6 ; Li, Xuan5; Zhang, Hui4; Zhao, Chen6; Li, Bai3; Wang, Xiao2; Wang, Xiao1; Wang, Fei-Yue6
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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| 出版日期 | 2023-09-01 |
| 卷号 | 8期号:9页码:4198-4207 |
| ISSN号 | 2379-8858 |
| 关键词 | Transformers Task analysis Autonomous vehicles Planning Biological system modeling Navigation Automation Generative parallel transformers end-to-end driving transport automation large-language models federation of vehicular transformers scenario engineering |
| DOI | 10.1109/TIV.2023.3307012 |
| 通讯作者 | Li, Xuan(lix05@pcl.ac.cn) |
| 英文摘要 | Diverse transport demands have resulted in the wide existence of heterogeneous vehicle automation systems. While these systems have demonstrated effectiveness, they also pose challenges in terms of the share of technological advancements among different organizations and lead to poor generalization ability of individual systems. This article proposes a Transformer-based unified framework, VistaGPT, to address these challenges. VistaGPT, composed of Modular Federations of Vehicular Transformers (M-FoV) and Automated Composing of Autonomous Driving Systems (AutoAuto), aims to overcome the information barriers due to system-level and module-level heterogeneity. M-FoV collects and organizes Transformer-based models in a modular fashion to facilitate system integration by providing diversity and versatility. AutoAuto utilizes large language models (LLMs) to automatically compose end-to-end autonomous driving systems with a "Dividing and Recombining" strategy. Besides, we deploy Scenario Engineering systems to evaluate the composed systems and provide systematic feedback for the optimization of AutoAuto, and Federated intelligence to contribute to diverse training samples and applications. With its capacity, scalability, and diversity, VistaGPT provides a new paradigm of LLM-aided system development for transport automation, which promotes virtual-real interactive parallel driving and advances progress toward "6S" objectives. |
| 资助项目 | Key-Area Research and Development Program of Guangdong Province[2020B090921003] ; Key Research and Development Program of Guangzhou[202007050002] ; National Natural Science Foundation of China[U1811463] ; National Natural Science Foundation of China[62303460] ; National Natural Science Foundation of China[62173329] ; National Natural Science Foundation of China[62203250] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[YESS20220372] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[YESS20210289] ; China Postdoctoral Science Foundation[2023M733739] ; China Postdoctoral Science Foundation[2020TQ1057] ; China Postdoctoral Science Foundation[2020M682823] |
| WOS研究方向 | Computer Science ; Engineering ; Transportation |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001098099800006 |
| 资助机构 | Key-Area Research and Development Program of Guangdong Province ; Key Research and Development Program of Guangzhou ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/54481]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Li, Xuan |
| 作者单位 | 1.Anhui Univ, Hefei 266114, Peoples R China 2.Purdue Univ, Dept Comp Sci, W Lafayette, IN 47906 USA 3.Hunan Univ, Coll Mech & Vehicle Engn, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China 4.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 5.Peng Cheng Lab, Shenzhen 518000, Peoples R China 6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tian, Yonglin,Li, Xuan,Zhang, Hui,et al. VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(9):4198-4207. |
| APA | Tian, Yonglin.,Li, Xuan.,Zhang, Hui.,Zhao, Chen.,Li, Bai.,...&Wang, Fei-Yue.(2023).VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(9),4198-4207. |
| MLA | Tian, Yonglin,et al."VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.9(2023):4198-4207. |
入库方式： OAI收割
来源：自动化研究所
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