Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

Configurable point cloud registration pipeline.

A unified library for 3D data processing with both c++ and python API

This is a software for finely removing non-ground points from point clouds.

A unified library for fitting primitives from 3D point cloud data with both C++&Python API.

Parallel LiDAR Point Cloud Preprocessing for Autonomous Driving Applications

Minimal API for obtaining PCL pointcloud using Intel realsense camera.

This is the implementation for the reconstruction of 3D scans. These uses multiple algorithms to scale and reconstruct the point cloud in order to obtain valid results

A useful tool to cut a set of point cloud into two parts with a designed IoU (overlapping)

Package that can be used to merge multiple sensor_msgs/PointCloud2

Here you can find some commonly used algorithms in 3D image processing (3D Bildverarbeitung).

Bachelor's thesis project with the aim of creating a tool that can offer the possibility of evaluate the accuracy of classifications identified in high-density point clouds

Example code to read uncompressed LAS and compressed LAZ files easily using LASlib