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david-willo's Projects

mcl_3dl icon mcl_3dl

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

minkloc3dv2 icon minkloc3dv2

MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

minkowskiengine icon minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

navego icon navego

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

neural-slam icon neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

nn-trees icon nn-trees

Python implementation of Binary Search Tree, kd-tree for tree building, kNN search, fixed-radius search.

okvis icon okvis

OKVIS: Open Keyframe-based Visual-Inertial SLAM.

omg_depth_fusion icon omg_depth_fusion

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

openchisel icon openchisel

An open-source version of the Chisel chunked TSDF library.

openmvg icon openmvg

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

openmvs icon openmvs

open Multi-View Stereo reconstruction library

orb_line_slam icon orb_line_slam

line feature based SLAM, modified based on the famous ORB-SLAM2

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pl-slam icon pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

pl-svo icon pl-svo

This code contains an algorithm to compute monocular visual odometry by using both point and line segment features, based on the open source version of SVO.

ppt-net icon ppt-net

Pyramid Point Cloud Transformer for Large-Scale Place Recognition

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