3D point cloud data (npy file) plot(viewer) in python and mayavi.
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Updated
Jul 2, 2020 - Python
3D point cloud data (npy file) plot(viewer) in python and mayavi.
3D Scene Reconstruction Based on Stereo Vision.
Fast Segmentation of 3D Point Clouds A Paradigm on LiDAR Data for Autonomous Vehicle Applications
Course submission material for Sensor Fusion and Camera based tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree.
A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
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 official repository of the original Point Transformer architecture.
Semantic Aware Map Metrics
This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis
A tutorial for learning the knowledge and techniques about 3D point clouds.
A PyTorch implementation of Point Transformer that can handle the input data in batch mode.
A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).
3D点云语义分割汇总,所有顶会论文以及一些arxiv上的最新论文
Feature Extraction, Image Registration, 3D reconstruction from scratch
Détection de points bords dans un nuage de points
[ICRA 2024] Official Implementation of the Paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"
Deep Learning based 3D Point Cloud Classification
NSL-3130AA ROS2 USB interface
Massive point cloud Rendering and editing
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