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

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Application of Artificial Intelligence in the Intelligent Driving Field

Authors
Chaoqi Yu1, *
1School of Electrical Information Engineering, Jingjiang College of Jiangsu University, Zhenjiang, Jiangsu, China
*Corresponding author. Email: gtrtyh55@my.msu.edu.kg
Corresponding Author
Chaoqi Yu
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_52How to use a DOI?
Keywords
Vision Large Model; Intelligent Decision Planing; Control System; Human-Computer Interaction
Abstract

With the rapid advancement of artificial intelligence (AI), its application in intelligent driving has emerged as a key research focus, offering significant potential for enhancing vehicle autonomy, safety, and efficiency. This paper provides a comprehensive analysis of various AI technologies and their roles in intelligent driving. It begins with an overview of the current state of intelligent driving, outlining the technological landscape and core challenges in the field. The paper then examines key AI-driven components, including vision-based large models, intelligent decision-making and planning systems, control systems, and human-computer interaction, discussing their applications, advantages, and existing challenges. Through this analysis, the study highlights how AI enhances perception, decision-making, and control mechanisms in autonomous vehicles, enabling more adaptive and efficient driving strategies. By synthesizing findings from theoretical and practical perspectives, this paper provides a deeper understanding of AI’s transformative role in the automotive industry. The insights presented in this study serve as a reference for researchers, engineers, and policymakers, contributing to the ongoing development of AI-powered intelligent driving technologies and their real-world applications.

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_52How 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  - Chaoqi Yu
PY  - 2025
DA  - 2025/08/31
TI  - Application of Artificial Intelligence in the Intelligent Driving Field
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 511
EP  - 521
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_52
DO  - 10.2991/978-94-6463-821-9_52
ID  - Yu2025
ER  -