🔥PCL（Point Cloud Library）点云库学习记录

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

C++ application to convert pcd file, ply file, txt file or xyz point cloud to MESH representation (Gp3).

Automatically registers (aligns) and visualizes point clouds, or processes a whole bunch at once

Portable .Net library for Last.fm

Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data

PointCloudTools是一款在Windows平台基于VS2017、Qt5.9.5、PCL1.8.1、VTK8.0.0源码编译开发的专门处理点云（.pcd、.ply、.obj等格式）文件的可视化工具。 该工具点云可视化使用的是vtk8.0.0编译生成的QVTKWidget窗口控件，使用PCL可以对点云进行滤波(filter)、特征提取(features)、关键点(keypoint)、 分割(segmentation)、识别(recognition)、可视化(visualization)等操作，可以对所有点云进行WGS84到平面坐标系转换，也包含将经纬度坐标转为UTM坐标的方法。 下载64位PCL1.8.164位下载路径：https://github.com/PointCloudL…

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.

This code is used to detect obstacles using a 3D Lidar

Material URJC Robotics Software Engineering Degree - Computer Vision. This project contains code examples for Computer Vision using C++ & OpenCV & PCL in ROS2

Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS

Probabilistic Point Clouds Registration

A simple structure from motion pipeline in c++ using OpenCV and PCL

ROS2 humble Simple-2D-LiDAR-Odometry

Upsampling method for an input cloud using mls method of PCL

ROS package for Detection and Tracking of Multiple Objects (DATMO), code of my master's thesis "Prediction of Objects' Motion in the Vicinity of Robot".

[DICTA 2020] DATMO algorithm I developed during my Summer Internship @ University of Calgary