A Survey of Extrinsic Calibration of LiDAR and Camera
A Survey of Extrinsic Calibration of LiDAR and Camera
- Neue Suche nach: Wang, Yuru
- Neue Suche nach: Li, Jian
- Neue Suche nach: Sun, Yi
- Neue Suche nach: Shi, Meiping
- Neue Suche nach: Wu, Meiping
- Neue Suche nach: Niu, Yifeng
- Neue Suche nach: Gu, Mancang
- Neue Suche nach: Cheng, Jin
- Neue Suche nach: Wang, Yuru
- Neue Suche nach: Li, Jian
- Neue Suche nach: Sun, Yi
- Neue Suche nach: Shi, Meiping
LiDAR always cooperates with the camera for environmental perception of autonomous platforms such as unmanned vehicles and robots. The data fusion of Lidar and camera might provide improved overall reliability compared with using only one single sensor. The accurate extrinsic parameter is the foundation of multi-modality data fusion. This paper gives a detailed survey on the development of extrinsic calibration between LiDAR and camera. Considering the need for targets and geometric constraints as transverse and longitudinal dimensions, we classify the calibration methods into four categories. Each quadrant involves a board class divided into several subclasses according to target type or correspondence between different modalities. We make detailed discussions about their principles, advantages, and drawbacks. In addition, we also introduce the current evaluation standards in the field of calibration and existing problems. Finally, this paper summarizes the development venation of calibration and analyzes the unsolved problems by previous work, basing which we further put forward the prospect of future work in LiDAR-Camera extrinsic calibration.
Dokumentinformationen
A Survey of Extrinsic Calibration of LiDAR and Camera
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 92 ; 933-944
2022-03-18
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch