Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Intelligent Control Technology for Unmanned Vehicles

Authors
Fang Li1, 2, *
1Arizona College of Technology at Hebei University of Technology, Hebei University of Technology, Tianjin, China
2College of Engineering, University of Arizona, Tucson, USA
*Corresponding author. Email: lifang@arizona.edu
Corresponding Author
Fang Li
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_34How to use a DOI?
Keywords
Unmanned ground vehicles; coupled control; intelligent control
Abstract

Unmanned driving has attracted much attention due to its high efficiency, environmental protection, safety and other attributes, and has become a strategic hotspot at home and abroad. However, its intelligent control technology still faces two difficulties: on the one hand, there is a lack of a systematic review of the evolution of relevant intelligent control technologies in this field; on the other hand, existing research has significant contradictions in terms of model complexity and environmental generalization capabilities. This paper divides intelligent control technology into data-driven control and hybrid control through the construction of a motion model. Through the analysis of existing research, it is pointed out that there are three major limitations of current unmanned driving intelligent technology: algorithm dependence; poor environmental generalization ability; poor interpretability of decision-making and control. This paper aims to fill this research gap, point out the limitations of the current field, and provide a reference for relevant researchers.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_34How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Fang Li
PY  - 2025
DA  - 2025/08/31
TI  - Intelligent Control Technology for Unmanned Vehicles
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 315
EP  - 324
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_34
DO  - 10.2991/978-94-6463-821-9_34
ID  - Li2025
ER  -