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Title	Communication Trends, Research Challenges In Autonomous Driving And Different Paradigms Of Object Detection
ID_Doc	14927
Authors	Sharma T.; Chehri A.; Fortier P.
Year	2023
Published	Smart Innovation, Systems and Technologies, 359 SIST
DOI	http://dx.doi.org/10.1007/978-981-99-3424-9_6
Abstract	Autonomous vehicle (AV) technology has the potential to provide a secure, robust and easy mode of transportation for the general public. A connected autonomous vehicle (CAV) is an AV that has vehicle communication capability, which improves the AV's situational awareness and allows it to collaborate with other AVs. As a result, CAV technology will improve the capabilities and robustness of AV, making it a promising potential transportation solution in the future 5G. This paper introduces a representative architecture of CAVs and surveys the latest research trends for 5G. It reviews the state-of-the-art and state-of-the-practice of the latest literature on autonomous vehicles (AV) technologies in 5G and it studies technologies trends and key technologies for Autonomous Driving. The main issues and unresolved problems are critically discussed based on the reviews to determine potential research directions. We have also presented different paradigms of Object Detection in the field of Autonomous driving. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	5G; Autonomous Driving; Autonomous Vehicle; Intelligent Transportation Systems; Machine Learning; Smart City

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