A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
For anyone who wants to do research about 3D point cloud based place recognition / loop closure detection. Thanks.
- Recent papers (from 2009)
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: outdoor | ind.
: indoor
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: image | rad.
: radar
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Statistics: :fire: code is available & stars >= 100 | :star: citation >= 50
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][RA-L] 1-Day Learning, 1-Year Localization: Long-Term LiDAR Localization Using Scan Context Image. [code] [out.
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[RA-L] Local Descriptor for Robust Place Recognition Using LiDAR Intensity. [out.
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[RA-L] Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU. [out.
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[IROS] OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios. [out.
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[IROS] Semantically Assisted Loop Closure in SLAM Using NDT Histograms. [out.
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[IROS] SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles. [out.
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[CVPR] PCAN: 3D Attention Map Learning Using Contextual Information for Point. [code] [out.
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[ICCV] LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis. [code] [out.
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[TIE] Season-Invariant and Viewpoint-Tolerant LiDAR Place Recognition in GPS-Denied Environments. [out.
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[arXiv] A fast, complete, point cloud based loop closure for LiDAR odometry and mapping. [code] [out.
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[RSS] OverlapNet - Loop Closing for 3D LiDAR-based SLAM. [code] [out.
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[ICRA] Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection. [code] [out.
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[IROS] Semantic Graph Based Place Recognition for 3D Point Clouds. [code] [out.
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[IROS] LiDAR Iris for Loop-Closure Detection. [code] [out.
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[IROS] Seed: A Segmentation-Based Egocentric 3D Point Cloud Descriptor for Loop Closure Detection. [out.
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[IROS] GOSMatch: Graph-of-Semantics Matching for Detecting Loop Closures in 3D LiDAR data. [code] [out.
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[IROS] Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. [out.
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[IROS] SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces. [ind.
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[IROS] Voxel-Based Representation Learning for Place Recognition Based on 3D Point Clouds. [out.
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[IROS] SeqSphereVLAD: Sequence Matching Enhanced Orientation-invariant Place Recognition. [out.
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[ECCV] DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization. [code] [out.
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[RAS] Global matching of point clouds for scan registration and loop detection. [out.
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[AR] Loop detection for 3D LiDAR SLAM using segment-group matching. [out.
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[TIE] Fast Sequence-matching Enhanced Viewpoint-invariant 3D Place Recognition. [out.
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[Sensors] Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor. [out.
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[Sensors] A Novel Loop Closure Detection Approach Using Simplified Structure for Low-Cost LiDAR. [ind.
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[ICARCV] Comparison of camera-based and 3D LiDAR-based place recognition across weather conditions. [out.
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[ICMR] DAGC: Employing Dual Attention and Graph Convolution for Point Cloud based Place Recognition. [out.
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[CGF] SRNet: A 3D Scene Recognition Network using Static Graph and Dense Semantic Fusion. [out.
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[IJRR] SegMap: Segment-based mapping and localization using data-driven descriptors. [code] [out.
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[arXiv] PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition. [out.
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