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Paper Citation Record · LEDGER

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.09110.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.09110 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:24.327733Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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Reference resolution

31 of 31 outbound references displayed

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Outbound references

Observation 1c01169d-ed0c-45cb-9b9f-ca45916e4605 · outbound

This paper cites A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems,

Reference 1

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source=pdf_text observed=2026-08-04T19:45:24.066099Z digest=sha256:7d9d04dd0f0eb96678503c3351e1ab423d695dc11aa110af71641694b38e2d63

Observation c63c3f92-7f23-4e0f-bb1c-763c02121739 · outbound

This paper cites EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale,

Reference 2

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source=pdf_text observed=2026-08-04T19:45:24.072808Z digest=sha256:8a18deffe7c7d5b40f9b99af4aa0e7ffd4b4bcb610d40fe52829834f3226eae2

Observation d06ce453-ac87-453f-ad4b-4d1067569187 · outbound

This paper cites LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM,

Reference 3

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Observation 4771e408-d614-4215-a129-e73dcd8f6be1 · outbound

This paper cites Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM,

Reference 4

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source=pdf_text observed=2026-08-04T19:45:24.088500Z digest=sha256:7ad0d91a4e096d56bed58b3506b537114167b216a4418c1b3779874e1ae4f6e8

Observation c0c09140-60ea-4108-9f51-bdfc92f8672b · outbound

This paper cites BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles

Reference 5

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Observation 82d8ca18-2d57-4287-b9e5-a935d9d275ad · outbound

This paper cites LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition,

Reference 6

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Observation efdf78ea-e58e-416b-a208-bc7358961895 · outbound

This paper cites Are we ready for autonomous driving? The KITTI vision benchmark suite,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Are we ready for autonomous driving? The KITTI vision benchmark suite,

Reference 7

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source=pdf_text observed=2026-08-04T19:45:24.112949Z digest=sha256:e4fc4f600b5b7455f77c0c7ba8a6e975dd483504113e4296886fd698609d9331

Observation acae0de0-598f-41d6-9d71-5e69928fe4f6 · outbound

This paper cites University of Michigan North Campus Long-Term Vision and Lidar Dataset,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization University of Michigan North Campus Long-Term Vision and Lidar Dataset,

Reference 8

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Observation 69ba818e-36f6-4726-822d-64bfefcffcd2 · outbound

This paper cites LiDAR-Based Place Recognition For Autonomous Driving: A Survey,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization LiDAR-Based Place Recognition For Autonomous Driving: A Survey,

Reference 9

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source=pdf_text observed=2026-08-04T19:45:24.136100Z digest=sha256:67413bcabfca896c860865ffdbfb11f545a997cff8a89ec5e0e89286ab585515

Observation 85a7b525-2f6f-4ad9-903e-da9c7b9e00eb · outbound

This paper cites 3D Point Cloud-based Place Recognition: A Survey,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization 3D Point Cloud-based Place Recognition: A Survey,

Reference 10

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source=pdf_text observed=2026-08-04T19:45:24.143953Z digest=sha256:fc7b44f92a9b3e34f0126ab94fbc20693454f95e99239cfb51eab50899f3ffb8

Observation 42063749-57b0-4b40-b5cd-dcc52917e6ac · outbound

This paper cites M2DP: A novel 3D point cloud descriptor and its application in loop closure detection,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization M2DP: A novel 3D point cloud descriptor and its application in loop closure detection,

Reference 11

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Observation 2fff74ce-d51c-45c4-b9bd-b792939ebfe2 · outbound

This paper cites BVMatch: Lidar-Based Place Recognition Using Bird’s-Eye View Images,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization BVMatch: Lidar-Based Place Recognition Using Bird’s-Eye View Images,

Reference 12

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Observation 89411f65-1afd-49b6-aaa0-a4082742f67d · outbound

This paper cites Bags of Binary Words for Fast Place Recognition in Image Sequences,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Bags of Binary Words for Fast Place Recognition in Image Sequences,

Reference 13

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Observation fe52d356-52f1-48dd-9afa-6ae0d085f70a · outbound

This paper cites BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM,

Reference 14

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Observation ec8e86ad-aab7-41df-b3c9-89e0c4bcc723 · outbound

This paper cites LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud,

Reference 15

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source=pdf_text observed=2026-08-04T19:45:24.186748Z digest=sha256:f5004c973ba91885492a9eaff4947e0187075b8f86e59b056e72a05f2a2c5859

Observation 043d4330-7475-4580-a175-85abde6fef93 · outbound

This paper cites 3D-BBS: Global Localization for 3D Point Cloud Scan Matching Using Branch-and-Bound Algorithm,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization 3D-BBS: Global Localization for 3D Point Cloud Scan Matching Using Branch-and-Bound Algorithm,

Reference 16

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Observation d05c6c13-f9d9-43cc-9a98-165076860294 · outbound

This paper cites Narrowing Your FOV With SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV Constrained LiDAR Place Recognition,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Narrowing Your FOV With SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV Constrained LiDAR Place Recognition,

Reference 17

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Observation 4c832bd3-3574-44af-bd58-064d8de8542e · outbound

This paper cites OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization,

Reference 18

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Observation 5c41dac5-468f-4d0a-9aa7-7d186efa73a6 · outbound

This paper cites OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR- Based Place Recognition,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR- Based Place Recognition,

Reference 19

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Observation d18cf80f-2c78-4dc9-b3ce-7ebff04e1cb0 · outbound

This paper cites Detailed Analysis on Generating the Range Image for LiDAR Point Cloud Processing,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Detailed Analysis on Generating the Range Image for LiDAR Point Cloud Processing,

Reference 20

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Observation a938cbb9-4ad0-4620-8852-757f189538e2 · outbound

This paper cites BEVPlace: Learning LiDAR-based Place Recognition using Bird’s Eye View Images,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization BEVPlace: Learning LiDAR-based Place Recognition using Bird’s Eye View Images,

Reference 21

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Observation 12d13742-3cb4-4799-adb8-dad3664d4d49 · outbound

This paper cites SG- LPR: Semantic-Guided LiDAR-Based Place Recognition,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization SG- LPR: Semantic-Guided LiDAR-Based Place Recognition,

Reference 22

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Observation bee001c1-c346-4abb-b160-7b6477879212 · outbound

This paper cites NetVLAD: CNN architecture for weakly supervised place recognition,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization NetVLAD: CNN architecture for weakly supervised place recognition,

Reference 23

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Observation 8e9fa938-fd98-4c0d-bad9-20724297c324 · outbound

This paper cites CVTNet: A Cross-View Trans- former Network for LiDAR-Based Place Recognition in Autonomous Driving Environments,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization CVTNet: A Cross-View Trans- former Network for LiDAR-Based Place Recognition in Autonomous Driving Environments,

Reference 24

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Observation a493c700-de6d-4f9a-87f8-d437da94b7ad · outbound

This paper cites ALSO: Automotive Lidar Self-supervision by Occupancy estimation,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization ALSO: Automotive Lidar Self-supervision by Occupancy estimation,

Reference 25

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Observation 5f2384ee-be66-4361-8a96-e76216cb7355 · outbound

This paper cites SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera,

Reference 26

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Observation 0c7b7bc3-df70-43b8-be93-43e5caceb6d1 · outbound

This paper cites BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds,

Reference 27

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Observation 0a5a3c3c-4e50-48fb-96e4-ba2de91ca655 · outbound

This paper cites Training Region-based Object Detectors with Online Hard Example Mining,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Training Region-based Object Detectors with Online Hard Example Mining,

Reference 28

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Observation f3beb6d9-3d81-4053-abbe-4c73cc3c3175 · outbound

This paper cites Machine learning for high-speed corner detection,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Machine learning for high-speed corner detection,

Reference 29

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Observation f4e428ed-1095-4c76-8360-fd3b2b68011b · outbound

This paper cites PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition,

Reference 30

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Observation 69ef6e52-6d27-4585-9fb7-ebbbde977b64 · outbound

This paper cites Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval,.

S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval,

Reference 31

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Pith citing papers

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