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Search results for point cloud place recognition

place-recognition x

15 search results found

Awesome Point Cloud Place Recognition ⭐ 318

A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

Sc Lego Loam ⭐ 256

LiDAR SLAM: Scan Context + LeGO-LOAM

A 3D point cloud descriptor for place recognition

Pointnetvlad ⭐ 184

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

Sc A Loam ⭐ 119

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

Minkloc3d ⭐ 78

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Logg3d Net ⭐ 73

[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.

Minklocmultimodal ⭐ 73

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Wild Places ⭐ 51

[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)

Minkloc3dv2 ⭐ 41

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

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

Spectralgv ⭐ 19

[RA-L 2023] Official Repository of "Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization", RA-L, Volume 8, Issue 5, May 2023

Place Recognition Db ⭐ 13

Tool for creating optimally sized databases (containing the minimum number of frames covering the scene) for place recognition task from RGBD and LiDAR data

This repository contains the code implementation used in the paper "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling". Accepted for ICRA 2021.

Patchaugnet ⭐ 12

PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes

EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

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