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

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Development of Machine Vision and AI for Intelligent Driving Technology

Authors
Jinlin Yang1, *
1College of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
*Corresponding author. Email: 2024140902025@std.uestc.edu.cn
Corresponding Author
Jinlin Yang
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_59How to use a DOI?
Keywords
Artificial intelligence; autonomous driving; machine vision
Abstract

Intelligent driving has been popular research in automotive high-tech in recent years, and some researchers have found that machine vision plays an important role in environment detection and other contents of intelligent driving technology, however, there is a lack of unified cognition for the specific application scenarios and corresponding use characteristics of machine vision. Therefore, this study further discusses the development and application of machine vision in intelligent driving technology. It is found that machine vision has been widely applied in intelligent driving technology in self-perception, environment detection, behavioral decision-making of a single vehicle and multi-vehicle cooperative scenarios, etc. In decision-making, artificial intelligence, deep learning, and other technologies are also applied, and the establishment of large models and so on makes the intelligent driving technology better adaptability to complex road conditions and real road conditions. Therefore, specific applications have improved the adaptability, intelligence, and autonomy of intelligent driving. Therefore, this research is aimed at promoting the application of artificial intelligence and machine vision in smart driving technology where new technologies may find a way to enhance and apply.

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_59How 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  - Jinlin Yang
PY  - 2025
DA  - 2025/08/31
TI  - Development of Machine Vision and AI for Intelligent Driving Technology
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 605
EP  - 615
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_59
DO  - 10.2991/978-94-6463-821-9_59
ID  - Yang2025
ER  -