Tools tagged with "point-clouds"

vecnet is an open-source project hosted on GitHub, developed by r-lidar-lab, focused on the automated vectorization of road networks. This tool is designed to process geospatial data, likely LiDAR or similar imagery, to extract and convert road features into vector formats. It aims to streamline the creation of structured road network data for various GIS and transportation applications.

Pointly offers an innovative cloud-based platform for 3D point cloud classification and labeling. It leverages artificial intelligence to automate the analysis of large-scale point clouds, transforming raw data into structured, actionable information. The platform also provides tools for centralized point cloud management and custom classifier development.

Whitebox Geospatial is the home of WhiteboxTools, an open-source, fast, and innovative geospatial software. It offers a suite of tools and workflows for Python, along with extensions and a core library, enabling advanced geospatial analysis. The platform emphasizes open-source development and provides resources for learning and implementation.

The KyFromAbove initiative offers a current basemap for Kentucky, including leaf-off aerial photography and LiDAR data. This resource supports state, federal, local, and regional users by providing open data to reduce GIS application development costs and promote data sharing. All data is made publicly available.

The KITTI Vision Benchmark Suite offers challenging real-world datasets for computer vision tasks in autonomous driving. Data is collected using a research vehicle equipped with high-resolution cameras, a Velodyne laser scanner, and a GPS system in various environments around Karlsruhe, Germany. It provides benchmarks for tasks like stereo, optical flow, visual odometry, 3D object detection, and 3D tracking.

libpointmatcher is a robust and modular C++ library designed for aligning point clouds using the Iterative Closest Point (ICP) algorithm. It provides essential functionalities for 2D and 3D mapping tasks, making it highly valuable for applications in robotics and computer vision. The library also offers convenient Python bindings for broader accessibility.

This record serves as a portal to an extensive aerial laser scanning (ALS) and photogrammetry dataset covering approximately 1.0 km² in Sunset Park, Brooklyn, NY. The data was captured in April 2019, providing detailed representations of the urban environment. It includes LiDAR point clouds, full waveform files, and RGBI Nadir imagery for various research and practical applications.

CloudCompare is a free and open-source 3D point cloud and mesh processing software. It allows users to manipulate, process, and analyze large 3D datasets, offering various tools for comparison, registration, segmentation, and visualization of point clouds.

The Point Cloud Library (PCL) is a standalone, large-scale, open project for 2D/3D image and point cloud processing. It provides advanced algorithms and data structures for tasks like filtering, feature estimation, surface reconstruction, segmentation, and object recognition. PCL is designed for a wide range of applications in robotics, computer vision, and geospatial analysis.

FlexRoad is a framework that transforms noisy 3D road reconstructions into smooth, accurate, and realistic road meshes. It addresses limitations of existing methods by fitting Non-Uniform Rational B-Splines (NURBS) surfaces to 3D road points. The framework is crucial for autonomous driving, urban planning, and virtual simulations, ensuring high-quality road models by reducing artifacts and inconsistencies found in typical planar representations.

Kepler.gl is an advanced web application designed for geospatial data visualization and analysis. It leverages WebGL to provide high-performance rendering capabilities for large datasets. This tool enables users to create compelling and interactive maps, supporting various data types and analytic visualizations.

This GitHub repository serves as a comprehensive "awesome list" dedicated to geospatial development using the Rust programming language. It meticulously collects and organizes a wide array of software, libraries, tools, and various resources. The list aims to be a central hub for anyone interested in leveraging Rust for geospatial applications and projects.

This GitHub repository provides an extensive guide to photogrammetry, covering its diverse applications and the essential libraries and tools for effective development. It aims to enhance understanding and proficiency in this field, detailing various techniques and hardware considerations.

This record provides aerial laser scanning (ALS) and photogrammetry data from a 2015 flight over Dublin, Ireland. It includes 3D point-cloud (LAZ), 3D full waveform LiDAR (LAS and Pulsewave), and ortho-rectified 2D rasters, covering over 2km² with 1.4 billion laser points.

swisstopo is the national mapping agency of Switzerland, offering a wide array of geospatial data products and services. These include various digital maps, aerial and satellite imagery, landscape and height models, and specialized geological and aeronautical maps. The organization also develops and maintains geodetic software to support surveying and mapping needs.

WisconsinView serves as a central hub for accessing and utilizing remote sensing imagery and LiDAR data specifically for the state of Wisconsin. This initiative facilitates the discovery and download of valuable geospatial datasets through its partnership with GeoData@Wisconsin. It aims to support various applications by providing resources and educational content related to satellite information and remote sensing.

openMVG (open Multiple View Geometry) is a C++ library that offers a complete solution for 3D computer vision tasks, particularly focusing on Structure from Motion (SfM). It provides robust algorithms and tools for reconstructing 3D scenes from multiple images, making it a fundamental resource for photogrammetry and related applications.

The NASA Ames Stereo Pipeline is a comprehensive collection of automated geodesy and stereogrammetry tools. It is specifically engineered to process planetary imagery acquired from orbiting and landed robotic explorers on other celestial bodies, facilitating advanced geospatial analysis beyond Earth.

COLMAP is a sophisticated open-source photogrammetry software solution designed for 3D reconstruction from collections of images. It implements a robust and modular Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline. This tool is widely used for generating dense point clouds and 3D models from unordered image sets, making it valuable for various computer vision and geospatial applications.

jakteristics is an open-source Python library designed for extracting geometric features from point cloud data. It provides tools for analyzing the local neighborhood of points and deriving various descriptive attributes, which are crucial for tasks like classification and segmentation of 3D data.

lidR is an R package designed for processing airborne LiDAR data. It provides powerful tools for point cloud manipulation, analysis, and visualization, with a strong focus on applications in forestry. The package enables users to perform tasks such as terrain modeling, individual tree segmentation, and forest structure analysis.

Boston Plans, through its GIS Lab, is a pivotal resource for urban planning and development in the city. It specializes in providing comprehensive mapping and analytical support, crucial for informed decision-making across various departments. The organization focuses on leveraging 3D data and advanced mapping technologies to enhance understanding of Boston's built and natural environments.

Agisoft Metashape is a standalone software product designed for advanced photogrammetric processing of digital images. It generates highly accurate 3D spatial data suitable for GIS applications, cultural heritage documentation, and visual effects production. The platform also supports indirect measurements of objects across various scales and integrates with Agisoft Cloud for enhanced site inspection and documentation.

This GitHub repository serves as an "awesome list" for photogrammetry, collecting a wide range of projects, libraries, and tools related to the field. It provides a community-driven compilation for developers, researchers, and enthusiasts looking for relevant resources. The list aims to categorize and highlight significant contributions in photogrammetry.