Vehicular Visualization: Enhancing Mobility Decisions With Human–Machine Interactions-Reference-Cited by-同舟云学术

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Vehicular Visualization: Enhancing Mobility Decisions With Human–Machine Interactions

Published:2023-11 Issue:11 Volume:8 Page:4653-4663
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Wang Xumeng¹^ORCID,Wang Xingxia²^ORCID,Ma Siji³^ORCID,Chen Wei⁴^ORCID,Wang Fei-Yue²^ORCID

Affiliation:

1. TMCC, CS, Nankai University, Tianjin, China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

3. Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China

4. State Key Lab of CAD&CG, Zhejiang University, Zhejiang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Nankai University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/10356741/10160191.pdf?arnumber=10160191

Reference97 articles.

1. Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems

2. Parallel cognition: hybrid intelligence for human-machine interaction and management

3. New directions for artificial intelligence: human, machine, biological, and quantum intelligence

4. Game Theory-Based Decision-Making and Iterative Predictive Lateral Control for Cooperative Obstacle Avoidance of Guided Vehicle Platoon

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

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Augmenting Reinforcement Learning With Transformer-Based Scene Representation Learning for Decision-Making of Autonomous Driving;IEEE Transactions on Intelligent Vehicles;2024-03

2. UnstrPrompt: Large Language Model Prompt for Driving in Unstructured Scenarios;IEEE Journal of Radio Frequency Identification;2024

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