The Advances of Perception Technology in Autonomous Driving

DOI

10.2991/978-94-6463-821-9_28How to use a DOI?

Keywords

Autonomous Driving; Perception Technology; Sensor; Computer Vision; Deep Learning

Abstract

The advent of autonomous driving technology represents a significant milestone in the evolution of the transport industry. This innovation has profoundly changed the way of travelling and, in certain instances, improved road safety, while at the same time fostering the development and innovation of associated technologies. This review aims to explicate the overarching categorization and present condition of both conventional and currently prevalent perception technologies within autonomous driving, as well as highlight the hurdles faced throughout the transition from conceptualization to practical implementation. In contrast to conventional technologies, the domains of perception technology, including hardware technology and software technology within autonomous driving are undergoing continuous intellectual enhancement and refinement. Notably, perception technology, leveraging technologies such as Computer Vision (CV) and Deep Learning (DL) in conjunction with sensor fusion, enhances data processing efficiency, perpetual learning capacities, and adaptability. Through detailed explication, categorization, and comparison of these technologies, a holistic and intuitive comprehension of the perception technology as an integral part of autonomous driving can be achieved.

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  - Yifan Tang
PY  - 2025
DA  - 2025/08/31
TI  - The Advances of Perception Technology in Autonomous Driving
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 251
EP  - 260
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_28
DO  - 10.2991/978-94-6463-821-9_28
ID  - Tang2025
ER  -