OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
-
Updated
Mar 24, 2023 - Python
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
MixVPR: Feature Mixing for Visual Place Recognition (WACV 2023)
Official repository for the ICLR 2024 paper "Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition".
Official repository for the CVPR 2024 paper "CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition".
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets
Lifelong Loop Closure Detection (ICRA 2022)
[TRO] Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM
Official repository for the AAAI 2024 paper "Deep Homography Estimation for Visual Place Recognition".
Ground Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition
[IROS2024] GV-Bench: A geometric verification benchmark targeting long-term loop closure detection.
Graph based SLAM for multiple cameras using SuperPoint feature detector
Loop closure Detection Toolbox with C++ and Python interface (DBoW3 and VLAD supported)
Dynamic Scenes Dataset for Visual Loop Closure Detection
Self-supervised place recognition by exploring temporal and feature neighborhoods
Visual place recognition (VPR)/Loop closure detection (LCD) paper list.
LiPMatch: LiDAR Point Cloud Plane based Loop-Closure
Add a description, image, and links to the loop-closure-detection topic page so that developers can more easily learn about it.
To associate your repository with the loop-closure-detection topic, visit your repo's landing page and select "manage topics."