Key Sensors in Autonomous Driving Systems
- DOI
- 10.2991/978-94-6463-864-6_85How to use a DOI?
- Keywords
- Autonomous Driving; Sensors; AI; Fusion
- Abstract
In the past five years, intelligent driving technology has gradually matured, and autonomous driving technology has gradually moved towards the L3-L5 level, so the environmental perception system needs to continuously update its accuracy and stability. Sensors are one of the important ways to receive and transmit environmental signals, so the use and selection of sensors are particularly important. In intelligent driving systems, the monitoring and collection of environmental signals are usually carried out in the form of the joint work of multiple or multi-modal sensors. Therefore, understanding the functions and advantages and disadvantages of different sensors is of great help to people in the development of sensor fusion and intelligent driving systems. This article mainly outlines the different types of sensors used in intelligent driving, such as cameras, millimeter-wave radars, lidars, and ultrasonic sensors, as well as their advantages and disadvantages in application, the development of different sensors and the opportunities and challenges of future applications and intelligent driving, to help future generations better retrieve and develop intelligent driving systems.
- 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
TY - CONF AU - Cexiao Hu PY - 2025 DA - 2025/10/23 TI - Key Sensors in Autonomous Driving Systems BT - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025) PB - Atlantis Press SP - 990 EP - 1001 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-864-6_85 DO - 10.2991/978-94-6463-864-6_85 ID - Hu2025 ER -