LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
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Updated
Jun 9, 2024 - C++
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Mesh processing library
Point Cloud Library (PCL)
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
Efficient and parallel algorithms for point cloud registration [C++, Python]
3D CAD viewer and converter based on Qt + OpenCascade
3D immersive software for visualization and mensuration of LIDAR point clouds
Open3D: A Modern Library for 3D Data Processing
Tutorial for creating DSM from LiDAR data in R
A 3D and 2D processing base on glam
Synthetic tree point cloud dataset with ground truth skeletons.
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
Compute point cloud geometric features from python
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
Segments.ai Python SDK
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds