L

lidar

OrePulse is an open-source platform that maps and tracks all magnetic minerals—including magnetite, iron sands, and rare earth elements—across the United States. Combining geospatial LIDAR data, corporate intelligence, and predictive analytics, OrePulse provides interactive maps, dashboards, and network visualizations of mines, companies, and key personnel. Designed for transparency, research, and public engagement, it connects geology with technology, allowing users to explore mineral resources, production data, and corporate networks. https://roxanneardary.com/orepulse/

Python API for DART simulator.

Read Documentation

experiments with robotic chassis and self-driven lidar, distance sensors navigation

Utilities for using MetriCal: Multimodal Calibration for Robotics and Autonomy

Rapport disponible sur http://floriandeboissieu.gitlab.io/LEAF-EXPEVAL

Code of project ONF, a research project on ALS data processing methods for french forestry.

Data processing and data analysis of laser scanner system using two SICK LMS511 laser scanners.

Graphical User Interface for lidar data management and processing.

Documentation.

This project was a demonstrator: unfortunately it is not maintained anymore.

A GRASS GIS module for identifying culverts, bridges and the like in LIDAR terrain models: https://invafish.gitlab.io/r.stream.culvert/

A GRASS GIS module for carving through man made barriers in stream networks that often are present in LiDAR based DEMs: https://invafish.gitlab.io/r.stream.carve/

Python binding of C++ signal gaussian decomposition

Extrinsic calibration for single point rangefinder (LiDAR altimeter) and monocular vision systems

C++ source code for LiDAR Compensation.

Data of project ONF, a research project on ALS data processing methods for french forestry.

A GRASS GIS module that snaps vector points to stream raster maps https://invafish.gitlab.io/r.stream.snap_simple

A project to create a class for the robot or other applications. main.cpp is just a skeleton interface for testing the class functions. Just drop lidar.cpp and lidar.h into a project and #include lidar.h.

Project code for CS401 Project