Research on Pulse Linear Array LiDAR Point Cloud Enhancement Algorithm in Snowy Environment

Xiaolong Shi, Mingze Gao, Yanjiang Wu, Weihan Wang, Fengjie Wang, Shaorong Han, Huimin Chen*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

LiDAR point cloud data acquisition is difficult in snowfall environment, which leads to fewer point cloud datasets in snowy days and affects the subsequent research on target recognition algorithms in bad weather. In this paper, we investigate a point cloud enhancement algorithm based on pulse linear array LiDAR in snowfall environment. We use a linear array data acquisition method to collect the point cloud data of sunny and snowy days, and the point cloud data of sunny days and different degrees of snowy days are compared. We establish a linear array pulse LiDAR acquisition model and a single-line laser snowfall simulation model. The results show that a large number of snow particles gather in the vicinity of pulse linear array LiDAR and they are conical in distribution. The simulation model can generate point cloud data close to the real snow environment.

Original languageEnglish
Article number152005
JournalJournal of Physics: Conference Series
Volume2891
Issue number15
DOIs
Publication statusPublished - 2024
Event4th International Conference on Defence Technology, ICDT 2024 - Xi'an, China
Duration: 23 Sept 202426 Sept 2024

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Shi, X., Gao, M., Wu, Y., Wang, W., Wang, F., Han, S., & Chen, H. (2024). Research on Pulse Linear Array LiDAR Point Cloud Enhancement Algorithm in Snowy Environment. Journal of Physics: Conference Series, 2891(15), Article 152005. https://doi.org/10.1088/1742-6596/2891/15/152005