Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.

Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".

Differential equations on manifolds

An offline deep reinforcement learning library

MATLAB MEX interface for the s2kit library. I was in no way involved in the development of this software. I am hosting it on my GitHub because, as far as I am aware, there is no other publicly avai…

Fast spherical Gauss-Laguerre Fourier transforms

C library to compute coefficients of spherical harmonic expansions and MATLAB interface. I was in no way involved in the development of this software. I am hosting it on my GitHub because, as far a…

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Fast Fourier Transforms and Convolutions of functions defined on sphere

A CMake-based build system that is used to build all packages in ROS.

Command line tools for working with catkin

🐕 "fetch" and "update" dependencies of projects in your catkin workspace with a new verb "dependencies" for catkin_tools

This is a visual-servoing based robot navigation framework tailored for navigating in row-crop fields. It uses the images from two on-board cameras and exploits the regular crop-row structure prese…

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

My awesome point cloud labeling tool

My awesome point cloud labeling tool

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

Dense Point-to-Point Correspondences for Genus-Zero Surfaces

Euclidean Distance Transform

Gradient domain processing for signals (and geometry) on meshes

Moebius Registration

Isosurface extraction from regular voxel grids