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Paper Citation Record · LEDGER

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2606.28951.

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

pith.paper-citation-record.v1
2606.28951 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:42:39.082836Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53582edc-5f0a-4016-a23a-b812d5d7b375 · outbound

This paper cites A Review of UAV Autonomous Navigation in GPS-Denied Environments,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Review of UAV Autonomous Navigation in GPS-Denied Environments,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.649521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:7f7485515f08305ca500584dd297870158b8982d8ed940280286a64e6cb29b46

Observation ad1aa3e4-85d6-4367-9038-913501f361ad · outbound

This paper cites System Architecture for Real-Time Surface Inspection Using Multiple UAVs,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments System Architecture for Real-Time Surface Inspection Using Multiple UAVs,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.647361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:f2c66f00ea62480131dd78ccaae45401ca706b06fb929e739aca90ef5dba0ec2

Observation baf8150f-b025-4bf7-a47b-a3ede69fd447 · outbound

This paper cites UAV-Based Deep Learning Applications for Automated Inspection of Civil Infrastructure,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments UAV-Based Deep Learning Applications for Automated Inspection of Civil Infrastructure,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.652695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:fee5fb779054e4828331ea241d7d1e5616e974022b46fa156cf63f159d47d2b1

Observation 17d367f5-2905-4e2d-ac0d-84e513b6a8b8 · outbound

This paper cites A Review of UAV Platforms, Sensors, and Applications for Monitoring of Sugarcane Crops,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Review of UAV Platforms, Sensors, and Applications for Monitoring of Sugarcane Crops,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.627823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:23bd2e15f7e6db25971df7778ab8241de0c950366c91d1430b3d12b7fc501969

Observation aaeeec0f-e32f-4072-815c-4a77ec69ad93 · outbound

This paper cites Camera, LiDAR, and IMU Based Multi-Sensor Fusion SLAM: A Survey,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Camera, LiDAR, and IMU Based Multi-Sensor Fusion SLAM: A Survey,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.637582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:ace94dcd3e62e65274d7b336a6f7dd06089fb8899b4d191dae2f7b92a3fe9644

Observation c385c165-70fa-486e-aa76-d40a82a2bc6c · outbound

This paper cites Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.608516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:2fd9c4e80eebc3db63f02c93c2a0c802e691826b6931e7c6fb5fae38ed629b32

Observation 0d22bfb3-d282-4e4e-85f2-7f19ae04e334 · outbound

This paper cites A Review of Recent Research on Visual Inspection Processes for Bridges and the Potential Uses of AI,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Review of Recent Research on Visual Inspection Processes for Bridges and the Potential Uses of AI,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.645034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:06dbd1433f39d0c9d439ffba92e4964fdfdf5294e8a685fcc1e2d01d108b6625

Observation 769ecdc6-cd18-42a8-bb43-8170fda9f587 · outbound

This paper cites A Review on Absolute Visual Localization for UAV,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Review on Absolute Visual Localization for UAV,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.650979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:be7e7c55816b1ff90442a7b351dceac09a147022fd20098aec29642f38480bf7

Observation 50ea1278-5613-4619-862f-fbbe559eee22 · outbound

This paper cites A Review of Quadrotor UAV: Control and SLAM Methodologies Ranging from Conventional to Innovative Approaches,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Review of Quadrotor UAV: Control and SLAM Methodologies Ranging from Conventional to Innovative Approaches,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.633619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:f82a1e1c9e97b410b6b9770fc0e6b11c7703e541d68db37ba8d230168c557686

Observation 55f9389a-201d-4af0-8cec-69294b77653f · outbound

This paper cites Exploring Deep Learning-Based Visual Localization Techniques for UAVs in GPS-Denied Environments,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Exploring Deep Learning-Based Visual Localization Techniques for UAVs in GPS-Denied Environments,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.627640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:d01928f4fb496af0b076e7b52528491609a3bf09732287cc90f8067b8d08d53b

Observation c5798652-b768-4b2b-8649-3eaa9cea54ec · outbound

This paper cites A Review of Visual SLAM Methods for Autonomous Driving Vehicles,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Review of Visual SLAM Methods for Autonomous Driving Vehicles,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.643178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:aa84f45ae0974b98d34533fd2c0f9d6a18d6f937b09941920a3f9dc929121cb7

Observation 4a655db0-89a4-4720-878f-bfa1baf7a58e · outbound

This paper cites Stereo Orientation Prior for UAV Robust and Accurate Visual Odometry,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Stereo Orientation Prior for UAV Robust and Accurate Visual Odometry,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.643879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:024809bf651de93d17bb472a19b7aa384dc7d9aebb1d0111ac8a5cc50b4f6295

Observation a279d07a-1443-4f9c-b736-28fb7a09c7d9 · outbound

This paper cites A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.622165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:9d5183847af44e458bdd64b19b78540fa9f46f073c4a3ef25d7efc6e6677e270

Observation 4404f0bc-c6e8-4eb9-96d6-780fd428881c · outbound

This paper cites 3D LiDAR-Based Semantic SLAM for Intelligent Irrigation Using UAV,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments 3D LiDAR-Based Semantic SLAM for Intelligent Irrigation Using UAV,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.645818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:60d3cd27f3d9c14a68593ae3a43743a616236ff3c2425288135f0bfaaf310c4f

Observation 1453c8a0-9615-4272-88cf-95cd23c568fd · outbound

This paper cites Visual-Lidar Odometry and Mapping: Low-Drift, Robust, and Fast,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Visual-Lidar Odometry and Mapping: Low-Drift, Robust, and Fast,

Reference 15

Resolution
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raw_fallback, observed 2026-07-09T18:16:26.625877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:498d665c38c789e2898395c5a785cea4830c72a9c60ed18741ba7dd89747efcd

Observation 99e24578-cb22-4ac8-8d5d-f5f107806aad · outbound

This paper cites LVI-SAM: Tightly Coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments LVI-SAM: Tightly Coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.654913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:7d9c143cc5c30b8107a31baf422997a926692447a51214ad04c4765bb9455b2b

Observation c424c5f3-1b4f-47f4-82c7-5b0ee6ce0b9a · outbound

This paper cites CT-LVI: A Framework Toward Continuous-Time Laser- Visual-Inertial Odometry and Mapping,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments CT-LVI: A Framework Toward Continuous-Time Laser- Visual-Inertial Odometry and Mapping,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.629383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:5f0db795a67e59fa6a86b3bf8f61fa12284694b237a09dfad983b164422b84c7

Observation cf4a6404-3346-49d4-9fe5-617975fd5424 · outbound

This paper cites R2LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly Coupled State Estimator and Mapping,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments R2LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly Coupled State Estimator and Mapping,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.640389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:3b1b421901feb83db4a169d7e1c2d404f8dd6b92f1551fe09c256a48f083ea37

Observation 03678d47-ae9b-47c3-aa67-d60b0aacd4b1 · outbound

This paper cites FAST-LIVO: Fast and Tightly Coupled Sparse-Direct Lidar-Inertial-Visual Odometry,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments FAST-LIVO: Fast and Tightly Coupled Sparse-Direct Lidar-Inertial-Visual Odometry,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.608652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:ecc2388bf1d1a2fb9253d4cb109a43c331c787ea5bae8a0df0175bb0e16237a9

Observation 4b8dbac6-e6d5-4144-a3ef-16d0b36dedb6 · outbound

This paper cites Deep Learning of Monocular Depth, Optical Flow and Ego-Motion with Geometric Guidance for UAV Navigation in Dynamic Environments,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Deep Learning of Monocular Depth, Optical Flow and Ego-Motion with Geometric Guidance for UAV Navigation in Dynamic Environments,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.625667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:418e11c914f78c060ead1023a093db7329973fff6afc183306c46548f1e009da

Observation 1d2f2da9-6d8b-4466-a3bf-8f5db91b62ba · outbound

This paper cites Recurrent Neural Network-Based Sensor Fusion Algorithm for Alternative Position, Navigation and Timing,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Recurrent Neural Network-Based Sensor Fusion Algorithm for Alternative Position, Navigation and Timing,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.601095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:983306cc070bf03837ae5f9d9ed8f7d611ba13080a11b85176f4e7d91a0b192f

Observation 1b78623b-1262-49cf-966d-ac0aa3d3eadf · outbound

This paper cites Vehicle Localization Method Based on Multi-Task Cascaded Learning During GPS Outages,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Vehicle Localization Method Based on Multi-Task Cascaded Learning During GPS Outages,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.652909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e2c8914f5f6d22ec03545293659b6e6eac3faf7ceb2797e3ed77f1df9c44a71d

Observation fcf85dae-7896-4b3d-8cc2-ed4ed5c5c18a · outbound

This paper cites Enhancing Integrated Navigation with a Self- Attention LSTM Hybrid Network for UAVs in GNSS-Denied Environments,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Enhancing Integrated Navigation with a Self- Attention LSTM Hybrid Network for UAVs in GNSS-Denied Environments,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.613040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:26c7114d461bc102402a982f9decddb0ad07a893dcb12b7fae3d23539f9dad2c

Observation b3408a0d-3025-47d8-a738-c2b20f41bbfc · outbound

This paper cites Superpoint Network for Point Cloud Over Segmentation,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Superpoint Network for Point Cloud Over Segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.631148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:a00aab9f58faf5b7b1c9ecf1f59e9f5cb8c9904d09a6320ebdf2989fd4ee8697

Observation 8799a447-491f-4acd-b649-3cedb92d99cd · outbound

This paper cites SuperPoint and SuperGlue-Based-VINS-Fusion Model,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments SuperPoint and SuperGlue-Based-VINS-Fusion Model,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.639683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e53dac1a73c7334f103fe9c9fa771a0ec6994cbbcc5d185250e483c7e751ee69

Observation 76ad5e8a-2ee3-4858-8791-dc4b61ff91a8 · outbound

This paper cites Eigenplaces: Training Viewpoint Robust Models for Visual Place Recognition,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Eigenplaces: Training Viewpoint Robust Models for Visual Place Recognition,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.620517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:acc4d529445a763d50870c3be59bef4a7422e3e72a784ed90be945d7e07657c3

Observation 7627d76a-af47-47fa-b95e-7fc102b46721 · outbound

This paper cites Global Structure-from-Motion Revisited,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Global Structure-from-Motion Revisited,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.641408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:0c183ef066de383c6e94f247154e7f6c88e4b662ff09948497f2d15105592e23

Observation aac5f892-3e50-4072-9d2c-46342120bf8f · outbound

This paper cites Fast and Robust Iterative Closest Point,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Fast and Robust Iterative Closest Point,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.649283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:5b1c74704cf3921f578169c96469e4fc0465ce2d107f351c4f27d557ef30cbba

Observation 45e68780-63b3-4cc8-8ac7-c9abc3630944 · outbound

This paper cites Flying with Cartographer: Adapting the Cartographer 3D Graph SLAM Stack for UAV Navigation,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments Flying with Cartographer: Adapting the Cartographer 3D Graph SLAM Stack for UAV Navigation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.623688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:61ee6b6f3a3e03742c918fb3a00dae263133f838059decd5a96447007872d40f

Observation d7c53bf1-c864-4a5c-bd4e-61ec246cd410 · outbound

This paper cites FAST-LIO2: Fast Direct Lidar-Inertial Odometry,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments FAST-LIO2: Fast Direct Lidar-Inertial Odometry,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.647579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:33142c0120349eae344c7b4c8a7176e4f341ce1a7dd2278f3b9daaea314ff04d

Observation 4ce36c6e-f49d-4526-ad2a-00766c01285a · outbound

This paper cites GLIM: 3D Range-Inertial Localization and Mapping with GPU-Accelerated Scan Matching Factors,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments GLIM: 3D Range-Inertial Localization and Mapping with GPU-Accelerated Scan Matching Factors,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.614975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:8bf48463b6b7ebd73f3c4b97ece6fc07bbda4354696dc9836ac398601a1bc4a7

Observation 009e0299-c9ea-492f-a02b-a23dee227a1b · outbound

This paper cites M8-Prime™ LiDAR Sensors,.

Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments M8-Prime™ LiDAR Sensors,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T18:16:26.629542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:cba0fac9b6a03646da519d9ccec368080956a2ee8d5d71449228a96ec9ef2a2c

Pith citing papers

No inbound Pith citation observations are available.