A profile generator from point cloud data using projection-based approach
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Updated
Jun 1, 2024 - Python
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.
A profile generator from point cloud data using projection-based approach
Robotics with GPU computing
User-friendly, commercial-grade software for processing aerial imagery. 🛩
Automatic identification of retaining structures in highway LiDAR scans.
Mesh processing library
This Github repository features the code for a Streamlit application for performing Structure-from-Motion (SfM) reconstructions using the LightGlue feature matcher. The application allows users to upload their own image datasets, select feature matchers, and generate 3D point cloud reconstructions.
The public CGAL repository, see the README below
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).
[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models
Large-Scale MLS Point Cloud Dataset Semantic Segmentation.
Point Cloud Library (PCL)
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
A 3D and 2D processing base on glam
ROS & ROS2 Implementation of Patchwork++
C++ library which provides data structures & algorithms for working with 3D point cloud data
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
Tutorial for creating DSM from LiDAR data in R