Experimental Analysis of Lidar Point Cloud Data
Tejas Narkhede, Sushant Chorghe, Punam Kadlag
DOI : 10.46335/IJIES.2023.8.3.7
Abstract –Our goal in this paper is to determine how many points of the Lidar point cloud do come from measurements of the Car. The Data is recorded by different sensors like Camera, Blickfeld Cube sensor and Velodyne Puck sensor for forward and back-word movement of the car[1]. For this case, 240 distinct frames of Blickfeld and Velodyne sensor recorded over 25m distance. We need to compare the number of points we can expect in what distance for all recordings. A typical LiDAR data product is an extensive collection of points cloud data of accurate 3D points with other attributes like intensity and GPS time. There are plenty of tools and softwares to work with LiDAR point cloud data like Desktop-based(QGIS), Web-based(Plas.io).
