Open Source LiDAR Software - Page 2

TLSpy is a set of multiplatform Python tools for working with Terrestrial Lidar Scanner (TLS) data.

A C++ driver to provide an interface to the Velodyne HD-64E Lidar

displaz is a cross platform viewer application for displaying LiDAR point clouds and high level features deduced from such point clouds. The interface and internals are optimised for viewing airborne laser scans of geographic data, but should also work for medium sized point clouds taken from other sources.

diy lidar based on pixart sensor (wiimote)

Idaho Lidar share code

ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization. ros2 slam package of the frontend using OpenMP-boosted gicp/ndt scan matching and the backend using graph-based slam.

These are IDL programs that we use to browse and process Mabel Lidar data. Complete instructions for installing and using the software can be found on the Wiki pages. A current version (very current!) of the Coyote Library is required.

This project is a prototype of 3D modelisation using a sick LMS 100 LIDAR. The driver was created in JAVA. This is developped under a GNU GPL Licence. ESIEA Paris ATIS Lab team: NICOL Anne-Gaëlle / BOUJAADA Chafik /GERMAIN Josselin/ MALLIN Jeremy

The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. WhiteboxTools also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; etc.