A 3D point cloud descriptor for place recognition
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Updated
May 6, 2023 - C++
A 3D point cloud descriptor for place recognition
Python implementation of SLAM algorithm Stereo-PTAM
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
Fisheye version of VINS-Fusion
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
graph-theoretic framework for robust pairwise data association
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
Convolutional Autoencoder for Loop Closure
[ICRA'23] Official code repo for "Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation"
SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.
Graph-based image sequences matching for the visual place recognition in changing environments.
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
using hloc for loop closure in OpenVINS
LIO-SAM-6AXIS with intensity image loop optimization
🏞️ [IEEE ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)
Python implementation of RGBD-PTAM algorithm
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