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Name: hw
Type: User
Name: hw
Type: User
Generate color pointcloud using the messages from one camera and one lidar
based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor
Map handling framework for automated driving
Curb Detection Using Hough Transform on Lidar Data
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.
This algorithm is based on Velodye HDL 64E
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