Fast and robust global registration for terrestrial robots @ ICRA2022

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

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+

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.

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.

FLS point cloud registration library.

LiDAR obstacle detection using Voxel Grids, RANSAC, Euclidean Clustering with Kd-Tree in C++ using PCL.

Tutorial for using Point Cloud Library (PCL) with ROS 2

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.

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

Object detector based on Point Cloud Library and Kinnect Camera

Multi Object Tracking Sensor Fusion 3D Interactive Simulation/Game in PCL

3ِD Change Detection In Point Cloud

GLIDAR: a simple OpenGL LIDAR simulator