Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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Technology and Application of Computer Vision in Smart Driving

Authors
Yiheng Zhou1, *
1Maynooth International Engineering College, Fuzhou University, Fuzhou, Fujian, China
*Corresponding author. Email: YIHENG.ZHOU.2025@mumail.ie
Corresponding Author
Yiheng Zhou
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_6How to use a DOI?
Keywords
Machine Vision; Intelligent Driving; Environment Perception
Abstract

Intelligent driving is a systematic project that involves the realization of multiple links in a collaborative manner. Environmental perception is an important link in an intelligent driving system. Machine vision can acquire rich and accurate data through cameras, and through the processing of this information, it can provide rich environmental information for vehicles. As the core technology of intelligent driving environment perception, machine vision is promoting the evolution of automatic driving from auxiliary function to full-scene autonomous decision-making through multimodal data fusion and deep learning algorithms. This paper systematically sort out the technical system of machine vision in intelligent smart driving cars, and deeply analyze the core methods of the whole process of image acquisition, processing, and analysis, in addition to which, this paper also focuses on the analysis of deep learning-based environment perception methods, multi-sensor fusion architectures, typical application scenarios, and future development trends. This review aims to elucidate the development status of machine vision technology and application in the field of intelligent driving, and to provide a systematic reference for promoting intelligent driving technology from theoretical research to large-scale landing.

Copyright
© 2026 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 International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_6How to use a DOI?
Copyright
© 2026 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  - Yiheng Zhou
PY  - 2026
DA  - 2026/04/24
TI  - Technology and Application of Computer Vision in Smart Driving
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 41
EP  - 49
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_6
DO  - 10.2991/978-94-6239-648-7_6
ID  - Zhou2026
ER  -