SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

[T-RO 2026] Canonical Policy: Learning Canonical 3D Representation for SE(3)-Equivariant Policy

Pure Python Libary of Ground Segmentation Algorithms

This code is an initial version of the change detection algorithm developed using the ZED 2 stereo camera. The program was developed by Levente Göncz at SZTAKI (Institute for Computer Science and Control) in a framework of a 4 months long project.

Real-Time Wall Detection from 3D LiDAR Data in ROS (2025.06)

Implementation of the sparse ICP algorithm in Python

Point Cloud Segmentation and classification

This repository contains the function RooTri() which can be used to approximate the intersection points of an unstructured 3D point cloud with an arbitrarily oriented plane in MATLAB

Hindi air-writing gesture recognition using PointNet++ and Leap Motion for 3D hand gesture classification

Project for the course 02501 Advanced Deep Learning in Computer Vision Spring 25 DTU

This 3D plotting device is developed for the semester 4 project under EN 2160: Electronic Design Realization.

An easy-to-follow PyTorch implementation of PointNet (Qi et al., 2017). This project was built for learning purposes, with the goal of keeping the implementation clear, well-documented, and reproducible, so others who are also learning can benefit, experiment, and build upon it.