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

Various point cloud tools for Matlab

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

A collection of digital forestry tools for Matlab/Octave

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

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

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

3ِD Change Detection In Point Cloud

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

Optimal rotation and translation between corresponding points

Implementation of using structured light for 3D depth reconstruction

Reconstruction of office from a set of 3D point clouds

The project is an official implementation of our paper "Vectorization of persistence barcode with applications in pattern classification of porous structures" (Computers & Graphics 2020)

SFM, from Data collection to 3D model

Calculation volume of terrain object by point cloud

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.

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

Given a point cloud calculate it's sectional area curve