ACTIVE SHAPE MODEL PRECISION ANALYSIS OF VEHICLE DETECTION IN 3D LIDAR POINT CLOUDS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Busch, S.^1¹ 

[1] Institute of Cartography and GeoInformatics, Leibniz Universität Hannover, Germany^1

关键词: Active Shape Model;    LiDAR;    Vehicle Detection;    Point Cloud;    Pose Estimation;    Segmentation;   

DOI  :  10.5194/isprs-archives-XLII-2-W13-21-2019

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

LiDAR systems are frequently used for driver assistance systems. The minimal distance to other objects and the exact pose of a vehicle is important for ego movement prediction. Therefore, in this work, we extract the poses of vehicles from LiDAR point clouds. To this end, we measure them with LiDAR, segment the vehicle points and extract the pose. Further, we analyze the influence of LiDAR resolutions on the pose extraction by active shape models (ASM) and by the center of bounding boxes combined with the principal component analysis (BC-PCA).

【 授权许可】

CC BY