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A list of papers and datasets about point cloud analysis (processing)
FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.
A golang ebook intro how to build a web with golang
Open3D: A Modern Library for 3D Data Processing
A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
Drag-n-drop In-browser LAS/LAZ point cloud viewer. https://plas.io
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客
A C# implementation of the WebSocket protocol client and server
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
XbsjEarthUI是基于Cesium和EarthSDK的三维GIS/BIM的UI模板，可以基于此定制自己的三维App
A curated list of papers & resources linked to 3D reconstruction from images.