LiDAR-based SLAM for robotic mapping: state of the art and new frontiers
- Resource Type
- JOURNAL
- Authors
- Yue, Xiangdi; Zhang, Yihuan; Chen, Jiawei; Chen, Junxin; Zhou, Xuanyi; He, Miaolei
- Source
- Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 2, pp. 196-205.
- Subject
- e-literature-review
Literature review
cat-ENGG
Engineering
Industrial engineering
design & manufacturing
Mobile robot
2D LiDAR
3D LiDAR
SLAM
Mapping
Spinning-actuated
- Language
- English
- ISSN
- 0143-991X
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.