Détection de points bords dans un nuage de points

NSL-3130AA ROS2 USB interface

Official code for the NeurIPS 2024 paper "Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need"

3D Scene Reconstruction Based on Stereo Vision.

Massive point cloud Rendering and editing

Paper on 3D Point Cloud Processing

The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)

Semantic Aware Map Metrics

A PyTorch implementation of Point Transformer that can handle the input data in batch mode.

Feature Extraction, Image Registration, 3D reconstruction from scratch

A tutorial for learning the knowledge and techniques about 3D point clouds.

Deep Learning based 3D Point Cloud Classification

3D point cloud data (npy file) plot(viewer) in python and mayavi.

Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)

This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis

Course submission material for Sensor Fusion and Camera based tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree.

[ICRA 2024] Official Implementation of the Paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)

Fast Segmentation of 3D Point Clouds A Paradigm on LiDAR Data for Autonomous Vehicle Applications