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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:8283cd55638653850e5ebe505ceb4f1676695619f50cb26813e4aa6d1fa85e99

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e6547cbc5a96f6bb6ea59bdd4ecd4e904470bf4c1fa1dc081d09bcf77f11b298

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:280f1028503fb3f35334ff9529422d8d023fab4a2a13cb3771163beb0471d4d5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:45a509b582c5490a6ab105be0e2a8e9089a298de25700b85cb63d11a5ab676eb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:971101415b55b009161f0d40e25b267000e801a34932156d4311dcdf104ad454

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:50aa22833515534cb5e10c292071b6feca7c80df4825376653d8955af9be2a56

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:a5298a44f35e03ef08420b2110c4db598dccff1f19b456d8e3a3397f12e94368

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:63a283f9211002302e660b91135f4414d22bd0a6a8adddf1ee4cf9e02e1b961c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:4c68263bab4beb22f920683c87687b5ca4880e69d9a5f1ca047a9ef3c63ad125

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:23e506ee16f578405309b05c528a84e924df804e7a7bb0e328488994aa0d6de4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:7567b9ad4b9dab4c58bf96e982b882f2439ad20e089188ac9dec632a1b5486e6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e5a4f9fb905e021381e6fb0151f350a66d46704fec433a7932203130bcaf3a87

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:41b6a09b69ec9715cc7881d10d4f8b37608ef5ea9d7641c4a72fd726edc40013

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:4f8ffcae77e678e3a4134fa8628f741ca380b543941116d2554636d159495adf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:1ee279bd5601954150c533b585469bcd6db3e7862728f5074f6d93044f4e2844

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
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:53dc36cdc06470f70d22c552f06e8f0b50b0627faf6eda058e3b107fb1904be7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:44aacb38c94ecbbebb333f55f96abc8fc3e5766e5187249c72dc0e6dad64d991

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:647061e5897ea4e4d85397d1dccd16bcd2b389e7e61849dc9aa76803b975d025

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:a3b90f37da66c42c05fffaf71900694aee24659df799ec8f8d4020bd31a0cafb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:b791be63f6024babca528a8c658da02ef93b0292c85170cce8d2384c6bfa5832

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:1aa58b9886aa4798d3af06f3f7e09c1224411f0a08b70edbc8d3b59e7d49d6dc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e6062fb9bda7475fe6a75f9f296dfbfcf32643b0ed70c63fff6c1f037c3093ec

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:46705e0635e20ae84dc24f02f59f76101ff2665de51d7163fd43ca6ed020015d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:607030948bedb0c03b4cda7ce296976c12543111acd8bef75c50c8fea0006f1c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:4b18707b6bbc1fc437704255b728aac5aca1c144f67dc595bf025e97a6c6ac11

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:d3bb749c98cfdef9492b538e342073c4e6d73817d13e0a864e0eb43d57cd9908

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:e2ba600425aa099628c2702f3d792fba81ebee0f9c7bb2ab9fd236f9b343a4a0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:275f60f8607fa516d19f761818cf1675463f53f5ac069dd28b913249a47f1859

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:037e355b4ee25322fed1b9819911f749815148b246cf9a37861bfded018764cc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:9e6cbdfab08c546f87d523827ebc11aa4d58e8a5244417a4fd48a50d4b1d1ab4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:007aac545f78566bd4deeffb3432f8a04af7affeb8a8d19e507ff03decd8aa5c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:42:39.082836Z digest=sha256:1997c283bc974cd5a38e0f22b412cecf116dd5a11a581f4dc1ca76bbb1194542

Pith citing papers

No inbound Pith citation observations are available.