A survey on perception, localization, planning, and control of autonomous vehicles: challenges and solutions

Li Wang; Chun Yuan; Yuchen Lu; Yuxiang Xiao; Fanfeng Hong; Zijian Zhang

doi:10.1117/12.3014800

4 March 2024 A survey on perception, localization, planning, and control of autonomous vehicles: challenges and solutions

Li Wang, Chun Yuan, Yuchen Lu, Yuxiang Xiao, Fanfeng Hong, Zijian Zhang

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129816C (2024) https://doi.org/10.1117/12.3014800
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Autonomous vehicles (AVs) are vehicles that can perform driving tasks without human intervention, using a combination of sensors, actuators, and artificial intelligence. AVs have the potential to revolutionize the transportation system, by improving safety, efficiency, mobility, and environmental sustainability. However, AVs also pose significant technical, ethical, social, and legal challenges that need to be addressed before their widespread deployment and acceptance. In this paper, we provide a comprehensive survey on the perception, localization, planning, and control of AVs, as well as the challenges and solutions in these domains. We also discuss the system management and human machine interface aspects of AVs, as well as the ethical, social, legal, and environmental implications of AVs. We identify the current state-of-the-art and future directions of AV research and development, and highlight the main gaps and limitations of the existing methods and techniques. We aim to provide a holistic and up-to-date overview of the state-of-the-art and future directions of AV research and development, and to identify the main gaps and limitations of the existing methods and techniques.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Li Wang, Chun Yuan, Yuchen Lu, Yuxiang Xiao, Fanfeng Hong, and Zijian Zhang "A survey on perception, localization, planning, and control of autonomous vehicles: challenges and solutions", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129816C (4 March 2024); https://doi.org/10.1117/12.3014800

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KEYWORDS

Machine learning

Data modeling

Unmanned vehicles

Sensors

Control systems

Human-machine interfaces

Model-based design

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