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Review Paper

3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review

Unmanned System Research Institute, Northwestern Polytechnical University, 710072 Xi’an, P. R. China
School of Automation, Northwestern Polytechnical University, 710072 Xi’an, P. R. China
Embotech AG, Giessereistrasse 18, 8005 Zurich, Switzerland
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK
Autonomous Driving Division, NIO, Shanghai, P. R. China
Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czechia
CIAD UMR7533, University Bourgogne Franche-Comté, UTBM, Belfort 90010, France

This paper was recommended for publication in its revised form by editorial board member, Jinqiang Cui.

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Abstract

Over the past decade, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has grown rapidly. Based on our accumulation of relevant research, this paper systematically reviews and analyzes the use of 3D ToF LiDARs for mobile robotics under harsh conditions such as adverse weather, GPS-denied, and highly dynamic environments for both research and industrial applications. The former include LiDAR data processing in adverse weather, object detection, and autonomous navigation. The latter encompasses autonomous driving, service robotics, and public health crises applications. We hope that our efforts can effectively provide readers with a reference based on our hands-on experiences and promote the deployment of existing mature technologies in real-world systems.

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Unmanned Systems
Pages 309-331

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Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

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Cite this article:
Yang T, Hu J, Li Y, et al. 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review. Unmanned Systems, 2025, 13(2): 309-331. https://doi.org/10.1142/S230138502530001X

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Received: 16 January 2024
Revised: 27 April 2024
Accepted: 27 April 2024
Published: 22 June 2024
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