Top 138 lidar open source projects

CJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor

ArcGIS Python Toolbox for WhiteboxTools

Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.

A collection of docker environments for 3D SLAM packages

Robotic simulation in Unity with ROS integration.

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

Create 3D labelled bounding boxes in RViz

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Julia bindings for the displaz lidar viewer

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Example Of iOS ARKit LiDAR

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

ROS2 package of tightly-coupled lidar inertial ndt/gicp slam

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

Delaunay and Constrained Delaunay Triangulations in Java, providing high-performance utilities for modeling surfaces with support for Lidar LAS files, Digital Elevation Models (DEM), finite element analysis, path planning, natural neighbor interpolation, and other applications of Triangulated Irregular Networks (TIN)