Intelligent Automobile Sensors: Types, Applications and Future Trends

DOI

10.2991/978-94-6463-864-6_81How to use a DOI?

Keywords

Intelligent Dirving; Automoblie Sensor; Environmental Perception; Lidar; Radar

Abstract

Intelligent vehicle sensors are the core of autonomous driving, covering camera, millimetre-wave radar, LiDAR and ultrasonic radar, each with its own advantages and disadvantages: camera relies on algorithms and is susceptible to environmental interference; millimetre wave radar adapts to bad weather but has limited accuracy; LiDAR has high accuracy but high cost; ultrasonic radar is mature but has a short detection distance. Currently, the industry is dominated by the L2 level autonomous driving, and the L4 level still needs technological breakthroughs. Technological evolution focuses on multi-sensor fusion, such as Transformer architecture for dynamic integration of data, AI and edge computing to reduce latency and new materials for solid-state LiDAR chips. Quantum radar may become the core of the future by improving anti-interference capabilities and resolution through quantum technology. Challenges include sensor performance limitations, regulatory differences and mass production bottlenecks. Future trends emphasise cross-industry collaboration and technological inclusivity, and it is expected that the global automotive sensors market will exceed 90 billion yuan in 2025, and cutting-edge technologies such as quantum radar may be commercially available in 2030, promoting the development of autonomous driving and intelligent transportation.

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  - Chongbin Xie
PY  - 2025
DA  - 2025/10/23
TI  - Intelligent Automobile Sensors: Types, Applications and Future Trends
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 942
EP  - 960
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_81
DO  - 10.2991/978-94-6463-864-6_81
ID  - Xie2025
ER  -