ACTIVE SHAPE MODEL PRECISION ANALYSIS OF VEHICLE DETECTION IN 3D LIDAR POINT CLOUDS
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,...
Main Author: | S. Busch |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/21/2019/isprs-archives-XLII-2-W13-21-2019.pdf |
Similar Items
-
A MARKED POINT PROCESS MODEL FOR VEHICLE DETECTION IN AERIAL LIDAR POINT CLOUDS
by: A. Börcs, et al.
Published: (2012-07-01) -
Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds
by: Shengjing Tian, et al.
Published: (2021-07-01) -
IMPLICIT SHAPE MODELS FOR OBJECT DETECTION IN 3D POINT CLOUDS
by: A. Velizhev, et al.
Published: (2012-07-01) -
Chip and System Design of Road and Vehicle Detection Based on LiDAR Point Clouds
by: Bo-Tai Wu, et al.
Published: (2018) -
Real-Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion
by: Hai Wang, et al.
Published: (2019-01-01)