@inproceedings{c7371f944050461983905940e8192f13,
title = "Comparison of Lidar Point Cloud Features in Railway Environment",
abstract = "Monitoring of railway facilities is of great significance to ensure railway system safety. Instead of the traditional inspection methods of manual inspection or track inspection car inspection, airborne lidar has been a good tool for the railway safety maintenance. Point cloud data acquired by lidar can accurately describe the geometric structure of objects in railway environment. Point cloud target recognition and extraction need suitable features for application scenarios. In this paper, several features are compared in real high-speed railway scene to show their applicability to railway environment.",
keywords = "feature, lidar, point Cloud, railway",
author = "Yixuan Geng and Zhipeng Wang and Limin Jia and Yong Qin",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 25th Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2020 ; Conference date: 22-06-2020 Through 24-06-2020",
year = "2020",
month = jun,
doi = "10.1109/CIVEMSA48639.2020.9132746",
language = "英语",
series = "CIVEMSA 2020 - IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "CIVEMSA 2020 - IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings",
address = "美国",
}