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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 6 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:5ffe2423ca2d0d2fd2c1925bbf6a8a21fcbb97a7506d130d9e91b0fca24dc9eb

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:89bd4b3a3e36c710b9b13738a09a739017912ea2af03f496d4216375533870e3

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:a3a2b310f13f2846d80ef5613368fec790f75da8301dfd3cfc21346030701948

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:6083fecc178db331d8d3422f4e0851ce7e07b72525681a050a8a889d2950fc99

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:c9d0181645fdae24f5ccc82b0fa745e10f0b114f52b0660cd2438ad5b2908cb6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:8a99cf53a37cd01a0e23d53191cdddc3e38a6415901c1842f5c2605a5414be66

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:adaf1564b8ca248f5f7077939e0bbd5a3ee92255d446b13eff0ced51bb4cf766

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:35a8bba3ac21e7cdaa03ed3180275afc45381af4b498f29609087afa4c322267

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:900d7d32fdb910100f4c8f158608e845edff5e202a396b64e929772549cc513e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:60dd84a7d08737a03db76287871ea2751b0faff59fe881ae27f0f26150fdcb7e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:1a2602bf01e547845b1f4e62fd88f6a9c2d22813a927ff924b7b03c4beb0d74c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:2174dc74e903c1aa0a18bf0d4ee9950792858b6b1938bf36351cae6eaccb69c9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:ca83e7bc4c4bb26d894103590d13b3052411d58d8ecb86cea37709d43026d469

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:86c2a76a375b46b1821f454cc3c963366af486ce4b01485d910728a3ceb9568f

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
verified fuzzy
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e3d94f962c29147509931eb3b26d73ff41da64149c201e8b541ea2b9bc27d84f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:51d8a54cddf1a67552a6f69bf5efe06a6af121913c66a3a153c1f9ef3662bfe2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:f29a5a4c29fbcf3f0e7ed7eed31b387dea8d012e818be5f8b9e4d0fb56ce80e2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:27d06c38580e6d1617af7408a85965398d55fbcabd7cc4d22fe7e207e67e9156

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:27fa2d1d41d9166b72e16e21ced86af0eec6323c258cf4a056431554d01eaa5d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:58478465a0f8677eafc90b6543e244b04f593e067e6cb61b5b008395f0fbf997

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:1f6f39caebaedef994e6a653cb81fa8bc4003496dbea4427d3f673caf31be8bf

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:f8a06a170d9ed511da147e4717a46f42f9b6eba618eeb2f1611a90dc09904ec4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:34dcae062bc4b4a1f2982305700c141029b938a55d405eec9d99852fda5a7d90

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:7e470edb07225986e0885c6b51cf51f0338121c4db271bbe954d5227575c7537

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:f3373271fdfa368fce3231274d626670ccd04df9199c831dd72cf2e86dbc13f5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:c57591570bb1b32e36dd08a5eecb2fbf7408f0a7c5332cc132418569d7fa7523

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:c18863b3189012caafa43722d947971df721b1863840cddae97609c2b5b47d33

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:736e348366d8c25e2b43192a9d3bd637ee1840118be7a0090be6e632c8a88b15

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:d01c4d1417b6c067e642df95c805f4daa4d69b943cc53383cb8e04daa177ae45

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:ae1f24abf20880d613dcc8cd49050730f680b694f8cc53458d97b367098998df

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:b6f82fd410eda0328b43bf06ad1310c19860aa5817e374544befb3aa7f1bf0f3

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:b643a2e8fdf5e5bd611c2574e73be228664f9bddd9235239b4eac80a15198e81

Pith citing papers

No inbound Pith citation observations are available.