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- Title
Object Detection Based on Roadside LiDAR for Cooperative Driving Automation: A Review.
- Authors
Sun, Pengpeng; Sun, Chenghao; Wang, Runmin; Zhao, Xiangmo
- Abstract
Light Detection and Ranging (LiDAR) technology has the advantages of high detection accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is placed at the commanding height of the traffic scene, the overall situation can be grasped from the perspective of top view, and the trajectory of each object in the traffic scene can be accurately perceived in real time, and then the object information can be distributed to the surrounding vehicles or other roadside LiDAR through advanced wireless communication equipment, which can significantly improve the local perception ability of an autonomous vehicle. This paper first describes the characteristics of roadside LiDAR and the challenges of object detection and then reviews in detail the current methods of object detection based on a single roadside LiDAR and multi-LiDAR cooperatives. Then, some studies for roadside LiDAR perception in adverse weather and datasets released in recent years are introduced. Finally, some current open challenges and future works for roadside LiDAR perception are discussed. To the best of our knowledge, this is the first work to systematically study roadside LiDAR perception methods and datasets. It has an important guiding role in further promoting the research of roadside LiDAR perception for practical applications.
- Subjects
OBJECT recognition (Computer vision); LIDAR; OPTICAL radar; WIRELESS communications equipment; ROADSIDE improvement; AUTOMATION; AUTOMATION software
- Publication
Sensors (14248220), 2022, Vol 22, Issue 23, p9316
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s22239316