Review of ground filtering algorithms for vehicle LiDAR scans point cloud dataReview of ground filtering algorithms for vehicle LiDAR scans point cloud data
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引用次数: 5
Abstract
LiDAR plays an important role in the field of unmanned driving. Ground filtering is the key technology to separate and extract the ground information from the point cloud data acquired by LiDAR. Firstly, the development and classification of vehicle LiDAR scans (VLS) are introduced, and the advantages and disadvantages of all kinds of VLS are discussed. Then, the development of VLS ground filtering algorithm is studied and classified. The evaluation methods and standards of ground filtering accuracy are described, and three typical algorithms are compared and analyzed. Finally, the shortcomings of current VLS and its ground filtering algorithms are summarized, and the future development trend is prospected.
光电工程Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
0.00%
发文量
6622
期刊介绍:
Founded in 1974, Opto-Electronic Engineering is an academic journal under the supervision of the Chinese Academy of Sciences and co-sponsored by the Institute of Optoelectronic Technology of the Chinese Academy of Sciences (IOTC) and the Optical Society of China (OSC). It is a core journal in Chinese and a core journal in Chinese science and technology, and it is included in domestic and international databases, such as Scopus, CA, CSCD, CNKI, and Wanfang.
Opto-Electronic Engineering is a peer-reviewed journal with subject areas including not only the basic disciplines of optics and electricity, but also engineering research and engineering applications. Optoelectronic Engineering mainly publishes scientific research progress, original results and reviews in the field of optoelectronics, and publishes related topics for hot issues and frontier subjects.
The main directions of the journal include:
- Optical design and optical engineering
- Photovoltaic technology and applications
- Lasers, optical fibres and communications
- Optical materials and photonic devices
- Optical Signal Processing