There are 2 repositories under point-cloud-library topic.
Lidar Obstacle Detection
A fairly in-depth tutorial for the Point Cloud Library (with ROS integration notes!)
Configurable point cloud registration pipeline.
Import and Export Point Cloud Data files from Blender 2.8+
Cross-platform library to communicate with LiDAR devices of the Blickfeld GmbH.
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented using the Open3d python package. The resulting 3D point cloud can then be processed to detect objects in the surrounding environment.
LiDAR obstacle detection using Voxel Grids, RANSAC, Euclidean Clustering with Kd-Tree in C++ using PCL.
FLS point cloud registration library.
Final project titled "Point Cloud Segmentation and Object Tracking using RGB-D Data" for the Machine Vision (EE 576) course.
Point Cloud 3D Visual Perception Simulation that runs on real LiDAR data
TreeScan3D is an innovative project that leverages the power of 3D computer vision and multi-threaded processing for efficient tree detection. Built using C++ and integrated with the Robot Operating System (ROS), this tool excels at accurately identifying trees in complex environments.
Tutorial for using Point Cloud Library (PCL) with ROS 2
Multi Object Tracking Sensor Fusion 3D Interactive Simulation/Game in PCL
Object detector based on Point Cloud Library and Kinnect Camera
3ِD Change Detection In Point Cloud
Point Cloud Library Tutorial with ROS
C++ Repo using Point Cloud Library for Lidar, Radar and Camera sensors
Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles
A tool to subdivide point clouds into a set of smaller sub point clouds with user defined dimensions.
GLIDAR: a simple OpenGL LIDAR simulator
Exploring, learning Edge Detection methods, in Computer Vision, for image processing of building scenes. (PCL 1.11.1 , CMake 3.20.3 , GNU Make 4.3 , Ubuntu 21.04)
MoniGarr’s 5 Week Summer Research Project for the Clarkson University Summer 2023 Research and Project Showcase (RAPS) , Honors Program. Winner of Best Undergraduate Poster Presentation in Computer Science.
Plane Segmentation and Obstacle Clustering in LiDAR generated point clouds
My Sensor Fusion Kalman Filter Final Project Submission
Configurable point cloud registration pipeline.