LiDAR-based SLAM for robotic mapping: state of the art and new frontiers
ISSN: 0143-991x
Article publication date: 2 January 2024
Issue publication date: 23 February 2024
Abstract
Purpose
In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) techniques. This paper aims to provide a significant reference for researchers and engineers in robotic mapping.
Design/methodology/approach
This paper focused on the research state of LiDAR-based SLAM for robotic mapping as well as a literature survey from the perspective of various LiDAR types and configurations.
Findings
This paper conducted a comprehensive literature review of the LiDAR-based SLAM system based on three distinct LiDAR forms and configurations. The authors concluded that multi-robot collaborative mapping and multi-source fusion SLAM systems based on 3D LiDAR with deep learning will be new trends in the future.
Originality/value
To the best of the authors’ knowledge, this is the first thorough survey of robotic mapping from the perspective of various LiDAR types and configurations. It can serve as a theoretical and practical guide for the advancement of academic and industrial robot mapping.
Keywords
Acknowledgements
This work was supported by the Natural Science Foundation of Hunan Province, China, 2021JJ40353; the National Innovation and Entrepreneurship Training Program of China, 202210542043; and the Natural Science Foundation of Zhejiang Province, China, LQ23E050015.
Citation
Yue, X., Zhang, Y., Chen, J., Chen, J., Zhou, X. and He, M. (2024), "LiDAR-based SLAM for robotic mapping: state of the art and new frontiers", Industrial Robot, Vol. 51 No. 2, pp. 196-205. https://doi.org/10.1108/IR-09-2023-0225
Publisher
:Emerald Publishing Limited
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