awesome-point-cloud-place-recognition
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
https://github.com/kxhit/awesome-point-cloud-place-recognition
Last synced: about 14 hours ago
JSON representation
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2009
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2010
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2011
- [SSRR - sized signatures from 3D LIDAR data. [__`out.`__ __`pc.`__]
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2013
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2015
- [IROS - Based Similarity Measure for Detecting Loop Closures in 3-D LIDAR Data. [[code](https://github.com/wangliuliu/histogram)] [__`out.`__ __`pc.`__]
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2016
- [IROS - python)] [__`out.`__ __`pc.`__] :star:
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2017
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2018
- [IROS
- [IROS - based Place Recognition. [__`out.`__ __`pc.`__ ]
- [IROS
- [ICRA
- [IV
- [RSS - Driven Descriptors. [[code](https://github.com/ethz-asl/segmap)] [__`out.`__ __`pc.`__] :fire: :star:
- [RA-L - Based Localization in 3D Point Clouds. [[code](https://github.com/ethz-asl/segmap)] [__`out.`__ __`pc.`__] :fire:
- [CVPR - Scale Place Recognition. [[code](https://github.com/mikacuy/pointnetvlad)] [__`out.`__ __`pc.`__] :fire: :star:
- [Sensors - gpu)] [__`out.`__ __`pc.`__]
- [Sensors - Based SLAM for UGVs in Urban Environments. [__`out.`__ __`pc.`__]
- [ICRA
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2019
- [RA-L - Day Learning, 1-Year Localization: Long-Term LiDAR Localization Using Scan Context Image. [[code](https://github.com/irapkaist/scancontext)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [RA-L
- [RA-L
- [IROS
- [IROS
- [IROS - Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles. [__`out.`__ __`pc.`__]
- [CVPR
- [ICCV - Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis. [[code](https://github.com/Suoivy/LPD-net)] [__`out.`__ __`pc.`__] :star:
- [TIE - Invariant and Viewpoint-Tolerant LiDAR Place Recognition in GPS-Denied Environments. [__`out.`__ __`pc.`__]
- [arXiv - mars/loam_livox)] [__`out.`__ __`pc.`__] :fire:
- [IROS
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2020
- [RSS - Loop Closing for 3D LiDAR-based SLAM. [[code](https://github.com/PRBonn/OverlapNet)] [__`out.`__ __`pc.`__ __`pos.`__] :fire: :star:
- [ICRA
- [IROS
- [IROS - Closure Detection. [[code](https://github.com/BigMoWangying/LiDAR-Iris)] [__`out.`__ __`pc.`__ __`pos.`__]
- [IROS - Based Egocentric 3D Point Cloud Descriptor for Loop Closure Detection. [__`out.`__ __`pc.`__]
- [IROS - of-Semantics Matching for Detecting Loop Closures in 3D LiDAR data. [[code](https://github.com/zhuyachen/GOSMatch)] [__`out.`__ __`pc.`__]
- [IROS - Closure Detection in Unstructured Planetary Environments. [__`out.`__ __`pc.`__]
- [IROS - based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces. [__`ind.`__ __`pc.`__]
- [IROS - Based Representation Learning for Place Recognition Based on 3D Point Clouds. [__`out.`__ __`pc.`__]
- [IROS - invariant Place Recognition. [__`out.`__ __`pc.`__]
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [RAS
- [AR - group matching. [__`out.`__ __`pc.`__]
- [TIE - matching Enhanced Viewpoint-invariant 3D Place Recognition. [__`out.`__ __`pc.`__]
- [Sensors - Scale Place Recognition Based on Camera-LiDAR Fused Descriptor. [__`out.`__ __`pc.`__ __`img.`__]
- [Sensors - Cost LiDAR. [__`ind.`__ __`pc.`__]
- [ICARCV - based and 3D LiDAR-based place recognition across weather conditions. [__`out.`__ __`pc.`__ __`img.`__]
- [CGF
- [IJRR - based mapping and localization using data-driven descriptors. [[code](https://github.com/ethz-asl/segmap)] [__`out.`__ __`pc.`__] :fire: :star:
- [arXiv - Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition. [__`out.`__ __`pc.`__ __`img.`__]
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [ECCV - Scale 6DoF Relocalization. [[code](https://github.com/JuanDuGit/DH3D)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
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2021
- [ICRA - Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation. [[code](https://github.com/dachengxiaocheng/NDT-Transformer)] [__`out.`__ __`pc.`__]
- [ICRA
- [RA-L - pytorch)] [__`out.`__ __`pc.`__ __`pos.`__]
- [RA-L - Closure. [[code](https://github.com/ahandsomeperson/LiPMatch)] [__`out.`__ __`pc.`__]
- [RA-L - View Deep Fusion Networks for Viewpoint-Free 3D Place Recognition. [__`out.`__ __`pc.`__]
- [RA-L - Based Place Recognition Using Bird's-Eye View Images. [[code](https://github.com/zjuluolun/BVMatch)] [__`out.`__ __`pc.`__ __`pos.`__]
- [IROS - Scale Place Recognition. [[code](https://github.com/lilin-hitcrt/SSC)] [__`out.`__ __`pc.`__ __`pos.`__] :fire:
- [IROS - aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition. [[code](https://github.com/qiaozhijian/vLPD-Net)] [__`out.`__ __`pc.`__]
- [IROS - based loop closing in 3-D SLAM. [[code](https://github.com/LRMPUT/segmap_vis_views)] [__`out.`__ __`pc.`__ __`pos.`__]
- [IROS - modal place recognition. [[code](https://github.com/Panyiyuan96/CORAL_Pytorch)] [__`out.`__ __`pc.`__ __`img.`__]
- [IROS
- [IROS - 3D Segment-Based Semantic Localization. [[code](https://github.com/ethz-asl/segmap)] [__`out.`__ __`img.`__ __`pc.`__ __`pos.`__] :fire:
- [IROS - term LiDAR Place Recognition. [__`out.`__ __`pc.`__]
- [RSS
- [CVPR - Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition. [[code](https://github.com/Yan-Xia/SOE-Net)] [__`out.`__ __`pc.`__]
- [WACV - Scale Place Recognition. [[code](https://github.com/jac99/MinkLoc3D)] [__`out.`__ __`pc.`__]
- [IJCNN
- [ICCCR
- [Frontiers - to-Lidar: Heterogeneous Place Recognition via Joint Learning. [[code](https://github.com/ZJUYH/radar-to-lidar-place-recognition)] [__`out.`__ __`pc.`__ __`rad.`__]
- [PR - level framework for place recognition with 3D LiDAR based on spatial relation graph. [__`out.`__ __`pc.`__]
- [AIM - Based SLAM. [[code](https://github.com/MarvinStuede/Sobi)] [__`out.`__ __`pc.`__]
- [AIM - based Localization System. [__`out.`__ __`pc.`__]
- [IJAG
- [T-RO
- [RCAR - based Place Recognition. [__`out.`__ __`pc.`__]
- [TITS - Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding. [__`out.`__ __`pc.`__]
- [arXiv - Scale Place Recognition. [[code](https://github.com/fpthink/EPC-Net)] [__`out.`__ __`pc.`__]
- [arXiv - learning-freiburg/LCDNet)] [__`out.`__ __`pc.`__ __`pos.`__]
- [arXiv - Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. [__`out.`__ __`pc.`__]
- [arXiv - based DL Network for 3D LiDAR Place Recognition. [[code](https://github.com/Cybonic/AttDLNet)] [__`out.`__ __`pc.`__]
- [arXiv - scale Place Recognition using Adaptive Receptive Fields. [[code](https://github.com/slothfulxtx/TransLoc3D)] [__`out.`__ __`pc.`__]
- [arXiv - based Large Scale Place Recognition. [__`out.`__ __`pc.`__]
- [arXiv
- [arXiv - Scale Place Recognition. [__`out.`__ __`pc.`__]
- [arXiv
- [ICRA - based Place Recognition using Spatiotemporal Higher-Order Pooling. [[code](https://github.com/csiro-robotics/locus)] [__`out.`__ __`pc.`__] :fire: :star:
- [arXiv - Scale Place Recognition. [__`out.`__ __`pc.`__]
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2022
- [ICRA - II)] [__`out.`__ __`pc.`__]
- [ICRA - Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. [[code](https://github.com/csiro-robotics/LoGG3D-Net)] [__`out.`__ __`pc.`__]
- [ICRA
- [ICRA - cost Single-chip Automotive Radar. [[code](https://github.com/ramdrop/AutoPlace)] [__`out.`__ __`pc.`__ __`rad.`__]
- [RA-L - SI: 3D LiDAR Place Recognition With Sparse Convolutions, Spherical Coordinates, and Intensity. [[code](https://github.com/KamilZywanowski/MinkLoc3D-SI)] [__`out.`__ __`pc.`__]
- [RA-L - Based Place Recognition Using Rotation Invariant Neural Network. [[code](https://github.com/lilin-hitcrt/RINet)] [__`out.`__ __`pc.`__]
- [RA-L - Invariant Transformer Network for LiDAR-Based Place Recognition. [[code](https://github.com/haomo-ai/OverlapTransformer)] [__`out.`__ __`pc.`__]
- [PRL - LPR: Spatiotemporal context based LiDAR place recognition. [[code](https://github.com/Daideyun/SC-LPR)] [__`out.`__ __`pc.`__]
- [IJPRS - based single-shot global localization solution using a cross-section shape context descriptor. [[code](https://github.com/Dongxu05/CSSC)] [__`out.`__ __`pc.`__]
- [ICPR - based Loss and Large Batch Training
- [arXiv
- [arXiv - centric Spatial Descriptor for Place Recognition within 3D Point Cloud Map. [__`out.`__ __`pc.`__ __`pos.`__]
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2023
- [RA-L - Ranking Point Cloud Retrieval for Metric Localization. [[code](https://github.com/csiro-robotics/SpectralGV)] [__`out.`__ __`pc.`__ __`pos.`__]
- [ICCV - Ground Cross-Source 3D Place Recognition. [[code](https://github.com/rayguan97/crossloc3d)] [__`out.`__ __`pc.`__ __`pos.`__]
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2012
- [TIM - D-Laser-Based Scene Measurement and Place Recognition for Mobile Robots in Dynamic Indoor Environments. [__`ind.`__ __`pc.`__] :star: