VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation-Reference-Cited by-同舟云学术

VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation

Published:2023-09 Issue:9 Volume:8 Page:4198-4207
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Tian Yonglin¹^ORCID,Li Xuan²^ORCID,Zhang Hui³^ORCID,Zhao Chen¹,Li Bai⁴^ORCID,Wang Xiao⁵^ORCID,Wang Xiao⁶^ORCID,Wang Fei-Yue¹

Affiliation:

1. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Peng Cheng Laboratory, Shenzhen, China

3. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

4. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China

5. Department of Computer Science, Purdue university, West Lafayette, IN, USA

6. Anhui University, Hefei, China

Funder

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/10288058/10227873.pdf?arnumber=10227873

Reference74 articles.

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2. ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning

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4. MMFN: Multi-Modal-Fusion-Net for End-to-End Driving

5. Key problems and progress of vision transformers: The state of the art and prospects;tian;ACTA Automatica Sinica,2022

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