TY - GEN
T1 - An Overview of Factors Influencing the Mass Adoption of Self-Driving Vehicles
AU - Li, Zilin
AU - Cheng, Ka Wai Eric
AU - Chan, Kevin K.W.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/9
Y1 - 2022/9
N2 - A self-driving vehicle used to be found in science fiction but would promisingly and gradually become a reality in our daily life in the foreseeable future. Self-driving or autonomous vehicles can bring about disruptive changes to the current transportation system, commuting ways, the concept of vehicle ownership, risk management, legal liability, regulations, urban planning, etc. A highly/fully self-driving vehicle is one of the most complex man-made systems and involves various aspects of modern society. Nevertheless, the public seems to lack a clear enough understanding of self-driving vehicles. To further the development of self-driving technologies, it is necessary to develop a comprehensive understanding of multifaceted factors that could hinder the mass adoption of self-driving vehicles. Therefore, this paper intends to present an overview of some technical factors that could influence the advancement of self-driving vehicles. First, this paper reviews state-of-the-art architectures of a self-driving vehicle. Various sensor technologies are followed with a discussion of their limitations. As two essential software subsystems for realizing a self-driving vehicle, the perception and decision-making systems are presented with an overview of their major tasks and challenges. This paper is concluded with a summary of the technical challenges, being a helpful resource for engineers, the public, policy-makers, and social researchers.
AB - A self-driving vehicle used to be found in science fiction but would promisingly and gradually become a reality in our daily life in the foreseeable future. Self-driving or autonomous vehicles can bring about disruptive changes to the current transportation system, commuting ways, the concept of vehicle ownership, risk management, legal liability, regulations, urban planning, etc. A highly/fully self-driving vehicle is one of the most complex man-made systems and involves various aspects of modern society. Nevertheless, the public seems to lack a clear enough understanding of self-driving vehicles. To further the development of self-driving technologies, it is necessary to develop a comprehensive understanding of multifaceted factors that could hinder the mass adoption of self-driving vehicles. Therefore, this paper intends to present an overview of some technical factors that could influence the advancement of self-driving vehicles. First, this paper reviews state-of-the-art architectures of a self-driving vehicle. Various sensor technologies are followed with a discussion of their limitations. As two essential software subsystems for realizing a self-driving vehicle, the perception and decision-making systems are presented with an overview of their major tasks and challenges. This paper is concluded with a summary of the technical challenges, being a helpful resource for engineers, the public, policy-makers, and social researchers.
KW - architectures
KW - autonomous vehicles
KW - camera
KW - Lidar
KW - overview
KW - Radar
KW - self-driving car
KW - sensor fusion algorithms
KW - sensor technologies
UR - http://www.scopus.com/inward/record.url?scp=85149149319&partnerID=8YFLogxK
U2 - 10.1109/PESA55501.2022.10038422
DO - 10.1109/PESA55501.2022.10038422
M3 - Conference article published in proceeding or book
AN - SCOPUS:85149149319
T3 - Proceedings of the 9th International Conference on Power Electronics Systems and Applications, PESA 2022
BT - Proceedings of the 9th International Conference on Power Electronics Systems and Applications, PESA 2022
A2 - Cheng, Ka-wai Eric
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Power Electronics Systems and Applications, PESA 2022
Y2 - 20 September 2022 through 22 September 2022
ER -