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

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Technical Analysis of Intelligent Vehicle In-Vehicle Navigation Systems

Authors
Chaoyi Zhang1, *
1School of Nuclear Science, energy and power engineering, Shandong University, Jinan, Shandong, 25000, China
*Corresponding author. Email: 202100180017@mail.sdu.edu.cn
Corresponding Author
Chaoyi Zhang
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_24How to use a DOI?
Keywords
Navigation Technology; SLAM Algorithm; Obstacle Avoidance; Localization Algorithm; Dijkstra’s Algorithm and Its Improvements
Abstract

With the high-speed development of the intelligent vehicle industry, people’s requirements for transportation efficiency and transportation safety are also increasing. In-vehicle navigation technology can assist drivers to complete driving tasks safely and efficiently, which is the focus of current research. The purpose of this paper is to summarize the technical principles of intelligent in-vehicle navigation systems, and to explore the principles and application status of in-vehicle navigation technology from three aspects: environment analysis, positioning analysis, and path planning analysis. This paper concludes that in the current research, environment analysis technology still exists in the intelligent development space. This paper argues that the center of gravity for the future development of intelligent in-vehicle navigation technology is in environment analysis technology. Through this technology, intelligent vehicles can autonomously analyze the surrounding environment and react to the dynamic environment, which can effectively improve transportation efficiency and safety. The research in this paper summarizes the current results in the field of intelligent in-vehicle navigation, and points out the key development direction in the future.

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_24How 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  - Chaoyi Zhang
PY  - 2025
DA  - 2025/08/31
TI  - Technical Analysis of Intelligent Vehicle In-Vehicle Navigation Systems
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 213
EP  - 221
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_24
DO  - 10.2991/978-94-6463-821-9_24
ID  - Zhang2025
ER  -