3D ToF LiDAR in Mobile Robotics: A Review
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Abstract (arXiv)
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has grown rapidly. Based on our accumulation of relevant research, this article systematically reviews and analyzes the use 3D ToF LiDARs in research and industrial applications. The former includes object detection, robot localization, long-term autonomy, LiDAR data processing under adverse weather conditions, and sensor fusion. The latter encompasses service robots, assisted and autonomous driving, and recent applications performed in response to public health crises. We hope that our efforts can effectively provide readers with relevant references and promote the deployment of existing mature technologies in real-world systems.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Feb 2022.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1.
3 papers.
- 2022Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learningcited by 4
- 2023pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentationcited by 0
- 2025Task-Driven Implicit Representations for Automated Design of LiDAR Systemscited by 0
- 2025Task-Driven Implicit Representations for Automated Design of LiDAR Systems28 May 2025
- 2023pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation27 Jul 2023
- 2022Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning8 Nov 2022