bsdwen

Pinned Repositories

3D_Lidar_Curb_Detection
Language:C++00
3D_LiDAR_Curb_Detection-1
Language:C++00
colored_pointcloud
Generate color pointcloud using the messages from one camera and one lidar
Language:C++0 0 00
curb-detection
Language:C++00
curb_detection
based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor
Language:C++00
fastseg
Language:C++00
Lanelet2
Map handling framework for automated driving
Language:C++00
LidarCurbDetection
Curb Detection Using Hough Transform on Lidar Data
Language:Python00
LidarRoadBoundaryDetection
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
Language:C++00
Object-detection-in-Point-Cloud-road-boundary
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.
Language:C++00

bsdwen's Repositories

bsdwen/3D_Lidar_Curb_Detection
Language:C++00
bsdwen/3D_LiDAR_Curb_Detection-1
Language:C++00
bsdwen/colored_pointcloud
Generate color pointcloud using the messages from one camera and one lidar
Language:C++0 0 00
bsdwen/curb-detection
Language:C++00
bsdwen/curb_detection
based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor
Language:C++00
bsdwen/fastseg
Language:C++00
bsdwen/Lanelet2
Map handling framework for automated driving
Language:C++00
bsdwen/LidarCurbDetection
Curb Detection Using Hough Transform on Lidar Data
Language:Python00
bsdwen/LidarRoadBoundaryDetection
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
Language:C++00
bsdwen/Object-detection-in-Point-Cloud-road-boundary
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.
Language:C++00
bsdwen/Road-boundary-detection-based-on-Lidar
This algorithm is based on Velodye HDL 64E
bsdwen/Road-boundary-edge-curb-detection