Research on Autonomous Vehicle Navigation in Complex Environments with Multi-Sensor Fusion Technology

DOI

10.2991/978-94-6463-821-9_3How to use a DOI?

Keywords

Autonomous Driving Technology; Multi-Sensor Fusion; Vehicle Navigation; Complex Environments; Millimeter-Wave Radar

Abstract

With the development of autonomous driving technology, autonomous vehicle navigation in complex environments has become a key challenge. To cope with the difficulties in complex environments, multi-sensor fusion technology comes into being, which is of great significance for improving transportation efficiency and ensuring safety. This paper analyzes the development history and theoretical basis of multi-sensor fusion, as well as case studies in different complex environments, to study in depth the application of multi-sensor fusion technology in autonomous vehicle navigation. This paper concludes that multi-sensor fusion technology has demonstrated some effectiveness in practical applications, and many companies have realized the initial development. However, the current technology is still affected by problems such as dynamic environmental interference, which reduces reliability under extremely complex conditions. In the face of complex environments, multi-sensor fusion technology is developing in the direction of self-adaptation, and initiatives such as dynamic fusion strategies and the fusion of sensor networks and deep learning can improve system efficiency and responsiveness, expanding the application of automated driving technology in intelligent transportation and other aspects.

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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TY  - CONF
AU  - Zining Li
PY  - 2025
DA  - 2025/08/31
TI  - Research on Autonomous Vehicle Navigation in Complex Environments with Multi-Sensor Fusion Technology
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 13
EP  - 22
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_3
DO  - 10.2991/978-94-6463-821-9_3
ID  - Li2025
ER  -