TY - JOUR
T1 - Research on Pulse Linear Array LiDAR Point Cloud Enhancement Algorithm in Snowy Environment
AU - Shi, Xiaolong
AU - Gao, Mingze
AU - Wu, Yanjiang
AU - Wang, Weihan
AU - Wang, Fengjie
AU - Han, Shaorong
AU - Chen, Huimin
N1 - Publisher Copyright:
© 2024 Institute of Physics Publishing. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85214434319&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2891/15/152005
DO - 10.1088/1742-6596/2891/15/152005
M3 - Conference article
AN - SCOPUS:85214434319
SN - 1742-6588
VL - 2891
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 15
M1 - 152005
T2 - 4th International Conference on Defence Technology, ICDT 2024
Y2 - 23 September 2024 through 26 September 2024
ER -