yonglezhang Goto Github PK

3d_line_detection

3d line detection from pointcloud using Hough Transform

3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

cascaded-lidar-ground-segmentation

A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC

cascaded_ground_seg

The implementation of "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles"

cvplatform-qt-opencv

基于Qt开发的OpenCV数字图像处理工具箱

distance_measurement

双目测距，double camera distance measurement，机器视觉，立体视觉，立体相机

floorsegmentation

Ground Segmentation, Floor Segmentation

gndnet

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

ground_filter

This is a ROS implementation used for filtering ground points in Velodyne PoinCloud

groungseg

this is my pointcloud ground segmentation program,using the A Progressive Morphological Filter and Improved Progressive TIN Densification Filtering

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

linefit_ground_segmentation

Ground Segmentation

linefit_ground_segmentation_details

快速3D点云分割论文代码（带注解）：Fast segmentation of 3d point clouds for ground vehicles

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

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.

opencv_rectangle_detection

Alters the default rectangle detection algorithm in OpenCV to filter out found rectangles

ouster_example

Ouster, Inc. sample code

pcap_to_pcd

Extract PointCloud files from Velodyne PCAP

plane_fit_ground_filter

点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications

pointcloud_roadboundarydetection

rangenet_lib

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

road_pcl

A ROS Package for Driving Road Segmentation using RANSAC Algorithm.

roadpointsextraction

This code aims to extract points that belong to the planar surface (road points) from the point cloud, the workflow starts by filtering the data to reduce noise and outliers. Secondly, the data is segmented using RANSAC algorithm and thereafter enhanced by the Growing Region approach. Lastly, the planar points and the surrounding objects (clusters) are visualised.

sfnd_lidar_obstacle_detection

SFND_Lidar_Obstacle_Detection

sfnd_lidar_obstacle_detection-master

stereo-calibration

:camera: :camera: Stereo camera calibration using OpenCV and C++