Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)

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Multi-Sensor Fusion Technology for Intelligent Driving

Authors
Jiajun Sun1, *
1School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200333, China
*Corresponding author. Email: 23011323@mail.ecust.edu.cn
Corresponding Author
Jiajun Sun
Available Online 23 October 2025.
DOI
10.2991/978-94-6463-864-6_58How to use a DOI?
Keywords
Intelligent Driving; Multi-Sensor Fusion Technology; Semsor
Abstract

Amidst the innovation of science and technology and the demand for new forms of transportation, intelligent driving has become a critical topic in modern automotive industry. Stable and efficient environmental recognition and monitoring serve as essential foundations for realizing intelligent driving. However, traditional single-sensor monitoring struggles to meet the basic operational requirements of intelligent driving systems when confronted with complex real-world driving environments and road conditions. Due to the detection limitations of a single sensor, full-scenario coverage for intelligent driving remains unattainable. Consequently, multi-sensor data fusion technology has been progressively developed and applied in intelligent driving. This review provides a comprehensive analysis of sensor technologies applied in intelligent driving. It details mainstream sensor technologies (including visual sensors, LiDAR, and millimeter-wave radar), analyses the multi-sensor fusion algorithm frameworks, and demonstrates specific 3D object detection examples through multi-sensor fusion algorithms categorized by fusion level. Additionally, the paper analyzes current technical challenges and future research directions in intelligent driving, concluding with a concise summary of this field.

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 Electrical Engineering and Intelligent Control (EEIC 2025)
Series
Advances in Engineering Research
Publication Date
23 October 2025
ISBN
978-94-6463-864-6
ISSN
2352-5401
DOI
10.2991/978-94-6463-864-6_58How 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  - Jiajun Sun
PY  - 2025
DA  - 2025/10/23
TI  - Multi-Sensor Fusion Technology for Intelligent Driving
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 688
EP  - 703
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_58
DO  - 10.2991/978-94-6463-864-6_58
ID  - Sun2025
ER  -