This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Various point cloud tools for Matlab

A collection of digital forestry tools for Matlab/Octave

[ICCV 2021] CPD with Local Surface Geometry (LSG-CPD)

Implementation of using structured light for 3D depth reconstruction

Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

Calculation volume of terrain object by point cloud

An efficient and robust probabilistic approach for fitting superellipse to point clouds.

Optimal rotation and translation between corresponding points

This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to plane. The second method utilizes voxel adjacency, and fit to plane.

Testing of transformation matrices between Lidar Velodyne VLP16 and RGB camera with MatLAB

3ِD Change Detection In Point Cloud

SFM, from Data collection to 3D model

Reconstruction of office from a set of 3D point clouds

MATLAB iterative algorithm that fits a n-dimensional simplicial complex to a point cloud in arbitrary dimensions based on a generalization of k-means clustering