id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
asir-4275	Jinming, Chen	Obstacle Detection Based on 3D Lidar Euclidean Clustering	2021	10	.pdf	application/pdf	3128	142	56	In order to focus on object detection www.scholink.org/ojs/index.php/asir Applied Science and Innovative Research Vol. 5, No. 3, 2021 41 Published by SCHOLINK INC. on road surface, ground point cloud is segmented for point cloud data and ground point cloud is filtered; (4) In order to improve the accuracy and real-time performance of clustering, sampling under voxel filtering and statistical filtering were used to remove outliers respectively. 3D lidar can generate hundreds of thousands or millions of point cloud data per second.	cache/asir-4275.pdf	txt/asir-4275.txt