Towards full autonomous driving: challenges and frontiers

Wei He; Wenhe Chen; Wenhe Chen; Siyi Tian; Lunning Zhang

doi:10.3389/fphy.2024.1485026

Frontiers in Physics (Oct 2024)

Towards full autonomous driving: challenges and frontiers

Wei He,
Wenhe Chen,
Wenhe Chen,
Siyi Tian,
Lunning Zhang

Affiliations

Wei He: Shanghai Engineering Research Center of AI & Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, China
Wenhe Chen: Artificial Intelligence Industry Academy School of Computer Engineering, Jiangsu University of Technology, Changzhou, China
Wenhe Chen: Shanghai Huace Navigation Technology Co., Ltd., Shanghai, China
Siyi Tian: School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
Lunning Zhang: Shanghai Future Space-Time Technology Co., Ltd., Shanghai, China

DOI: https://doi.org/10.3389/fphy.2024.1485026
Journal volume & issue: Vol. 12

Abstract

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With the rapid advancement of information technology and intelligent systems, autonomous driving has garnered significant attention and research in recent years. Key technologies, such as Simultaneous Localization and Mapping (SLAM), Perception and Localization, and Scene Segmentation, have proven to be essential in this field. These technologies not only evolve independently, each with its own research focus and application paths, but also complement and rely on one another in various complex autonomous driving scenarios. This paper provides a comprehensive review of the development and current state of these technologies, along with a forecast of their future trends.

Published in Frontiers in Physics

ISSN: 2296-424X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Physics
Website: https://www.frontiersin.org/journals/physics

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