Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:07:55.137495Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2603.03695.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:07:55.137495Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
79 of 79 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7bdde78e-287a-4484-adde-6855d016ebac · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory A survey on global lidar localization: Challenges, advances and open problems,
Reference 1
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Observation b9e5ce55-8890-4f2b-b381-ec79b13d5cd4 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Simultaneous localization and mapping for forest harvesters,
Reference 2
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Observation 31e13d07-325b-4a4b-8ae5-27a6a8b203ca · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Wild visual navigation: Fast traversability learning via pre-trained models and online self-supervision,
Reference 3
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Observation 18946e76-20c1-4725-b7c7-4848f63a8808 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Building Forest Inventories with Autonomous Legged Robots -- System, Lessons, and Challenges Ahead
Reference 4
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Observation 9f14ee5e-f9ff-4d76-b9ba-ea8dca201041 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Terrestrial laser scanning in forest inventories,
Reference 5
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Unavailable: canonical work link unavailable.
Observation 296aca09-8808-4e3c-b8f8-9f3b53d158d3 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Mapping forests using an unmanned ground vehicle with 3d lidar and graph-slam,
Reference 6
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Unavailable: canonical work link unavailable.
Observation d1373bcd-3215-4a3a-84d0-beb8ecefad7a · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Sloam: Semantic lidar odometry and mapping for forest inventory,
Reference 7
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Observation 4cd1a512-ae6a-4ae2-a662-1893179c972f · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Large-scale autonomous flight with real-time semantic slam under dense forest canopy,
Reference 8
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Observation 211c5d86-172f-4114-9348-652c8c571a61 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Accuracy and precision of gps receivers under forest canopies in a mountainous environment,
Reference 9
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Unavailable: canonical work link unavailable.
Observation 5804af97-d0a8-4e75-b300-c2712fe529d8 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory The performance of rtk-gps for surveying under challenging environmental conditions,
Reference 10
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Unavailable: canonical work link unavailable.
Observation bc400ed8-d14e-4981-a672-262e1862e20b · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory The use of terrestrial lidar technology in forest science: application fields, benefits and challenges,
Reference 11
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Unavailable: canonical work link unavailable.
Observation b1fc74e8-cded-473e-acc1-7f6f50f49400 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Application of real-time positioning systems to a forest stand for precision forest management
Reference 12
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Unavailable: canonical work link unavailable.
Observation 11bb65c4-618d-4b37-9c9c-f950b62596f0 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory The role of lidar in sustainable forest management,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 9dd47c63-6889-401e-8048-7f42446292e8 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 643802d8-cc51-406c-9dc0-1feafcfbc9b3 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Scan context++: Structural place recog- nition robust to rotation and lateral variations in urban environments,
Reference 15
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Observation 963392de-540c-444b-94eb-e81bf2f6e53e · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Narrowing your fov with solid: Spatially organized and lightweight global descriptor for fov-constrained lidar place recognition,
Reference 16
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Observation ba62919a-4c53-43b3-8bf6-4ca15914dc24 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Std: Stable triangle descriptor for 3d place recognition,
Reference 17
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Unavailable: canonical work link unavailable.
Observation ea1bd162-e74e-4853-ae8a-334c61bd8617 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Btc: A binary and triangle combined descriptor for 3-d place recognition,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 4e883a0a-1cd2-4edf-bd09-d76c2e06542a · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Effectively detecting loop closures using point cloud density maps,
Reference 19
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Observation 4b87e39e-0138-49ce-b40c-75b266c371c0 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Teaser: Fast and certifiable point cloud registration,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 5f346d7f-3398-4af6-86c5-bb8e05041570 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory A single correspondence is enough: Robust global registration to avoid degeneracy in urban environments,
Reference 21
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Unavailable: canonical work link unavailable.
Observation a3fd7769-0a87-4726-9d7b-5003f719b9f4 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Kiss-matcher: Fast and robust point cloud registration revisited,
Reference 22
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Unavailable: canonical work link unavailable.
Observation dd45f02f-9fd2-4b81-9604-206cfd950e6c · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Evaluation and deployment of lidar-based place recognition in dense forests,
Reference 23
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Unavailable: canonical work link unavailable.
Observation 73be192f-18d8-40f4-92ef-9a8f6a0fc4d6 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Ssc: Semantic scan context for large-scale place recognition,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 0b883b0a-337d-43ef-b8f9-0ab4b00bafdf · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Segmatch: Segment based place recognition in 3d point clouds,
Reference 25
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Unavailable: canonical work link unavailable.
Observation ca4a101f-d7c8-43e5-a1fb-d6dec36cc00e · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Wildscenes: A benchmark for 2d and 3d semantic segmentation in large-scale natural environments,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 816175e1-7d1c-4ead-8f61-a0ed9408d50b · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Learning to see the wood for the trees: Deep laser localization in urban and natural environments on a cpu,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 8b15360c-38f0-4737-8b27-765436016b7b · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Seeing the wood for the trees: Reliable localization in urban and natural environments,
Reference 28
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Unavailable: canonical work link unavailable.
Observation ebd072d4-ac39-4132-b682-73396bdb2da3 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Treeloc: 6-dof lidar global localization in forests via inter- tree geometric matching,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 62820a7e-415b-4d0a-884e-5c332c1e2e08 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Forest biomass estimation from airborne lidar data using machine learning approaches,
Reference 30
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Unavailable: canonical work link unavailable.
Observation 06d8526a-6dc3-4693-85db-34b193472ddb · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory A new method for segmenting individual trees from the lidar point cloud,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 420d9361-0af0-4986-9b3f-84da89d875f6 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Evaluating tree detection and segmentation routines on very high resolution uav lidar data,
Reference 32
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Unavailable: canonical work link unavailable.
Observation 2e011c4e-6f3a-4303-8803-11e54b615042 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Estimating tree structural parameters via automatic tree segmentation from lidar point cloud data,
Reference 33
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Unavailable: canonical work link unavailable.
Observation 3519dbcf-bc58-4412-8a79-080468f29597 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Tree instance segmentation and traits estimation for forestry environments exploiting lidar data collected by mobile robots,
Reference 34
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Unavailable: canonical work link unavailable.
Observation 86ded534-6563-4dd7-97c3-de5f7146e93d · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Online tree reconstruction and forest inventory on a mobile robotic system,
Reference 35
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Unavailable: canonical work link unavailable.
Observation 5bf19621-9055-4003-bae7-77a944763032 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Pointnet++: Deep hierarchical feature learning on point sets in a metric space,
Reference 36
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Observation 0178670b-4363-4ea5-82a4-ea4b3834c48c · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Randla-net: Efficient semantic segmentation of large- scale point clouds,
Reference 37
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Unavailable: canonical work link unavailable.
Observation 1c802923-b26c-4154-bdcc-91211be1b5b4 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Digiforests: a longitudinal lidar dataset for forestry robotics,
Reference 38
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Unavailable: canonical work link unavailable.
Observation 86f49c84-b965-4de5-aba1-294173ead6f8 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Wild-places: A large-scale dataset for lidar place recognition in unstructured natural environments,
Reference 39
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Unavailable: canonical work link unavailable.
Observation 83436a92-43da-4ac9-a575-df12cbded7e7 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Semi-direct tree reconstruction using terrestrial lidar point cloud data,
Reference 40
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Unavailable: canonical work link unavailable.
Observation 10927f54-e9d0-414a-9f5a-d1c4acfd8c54 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Global localization of autonomous robots in forest environments,
Reference 41
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Unavailable: canonical work link unavailable.
Observation de3a5a16-4303-495a-ad94-68cc403e5c59 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Ring++: Roto-translation invariant gram for global localization on a sparse scan map,
Reference 42
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Unavailable: canonical work link unavailable.
Observation fcd762b0-c6fa-4d94-8a18-fee4f6318935 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory M2dp: A novel 3d point cloud descriptor and its application in loop closure detection,
Reference 43
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Unavailable: canonical work link unavailable.
Observation 9cd1ce26-6a34-4747-9356-1cd548b315db · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory One ring to rule them all: Radon sinogram for place recognition, orientation and translation estimation,
Reference 44
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Unavailable: canonical work link unavailable.
Observation 2079dbf3-59c4-4594-94d5-46a9ddb69c3d · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Fast point feature histograms (fpfh) for 3d registration,
Reference 45
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Unavailable: canonical work link unavailable.
Observation 17c47dab-40c6-4849-b836-5db2cea02d05 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Shot: Unique signatures of histograms for surface and texture description,
Reference 46
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Unavailable: canonical work link unavailable.
Observation 8a00af91-02ac-4dd7-9af5-45d972d5dca0 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Place recognition using keypoint voting in large 3d lidar datasets,
Reference 47
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Observation e7d0555c-4406-44eb-882d-3edf9df08d74 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Efficiently Closing Loops in LiDAR-Based SLAM Using Point Cloud Density Maps
Reference 48
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Observation 47a88651-ea9b-4c6f-9084-9c122b30fab4 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Orb: An efficient alternative to sift or surf,
Reference 49
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Observation 1d96897a-ba84-48a2-84af-ba8fcfaa1f22 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Intensity triangle descriptor constructed from high-resolution spinning lidar intensity image for loop closure detection,
Reference 50
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Observation 883364e0-f71d-47c2-bfa6-a5980b8ce5ac · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Re-trip: Reflectivity instance augmented triangle descriptor for 3d place recognition,
Reference 51
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Observation 74a12252-7309-467a-8d38-4e22cdda7ae0 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition,
Reference 52
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Observation dc045f01-2f5a-4f98-bb1e-5e2247b886e4 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
Reference 53
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Observation e5eafa40-6542-4923-9526-3acc72a74f1d · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Logg3d-net: Locally guided global descriptor learning for 3d place recognition,
Reference 54
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Observation a647791a-60de-4ace-9a65-0af2c6407696 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory 4d spatio-temporal convnets: Minkowski convolutional neural networks,
Reference 55
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Observation f18d3bca-26c5-4317-9a87-e5b5bdbb3358 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Improving point cloud based place recognition with ranking-based loss and large batch training,
Reference 56
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Observation ae50fa8f-3485-45ea-bc47-0a58badc8f4c · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Hotformerloc: Hierarchical octree transformer for versatile lidar place recognition across ground and aerial views,
Reference 57
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Unavailable: canonical work link unavailable.
Observation 001acfce-cec7-4aa0-aafa-49d4e6be899b · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Forestlpr: Lidar place recognition in forests attentioning multiple bev density images,
Reference 58
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Observation a1f050e7-0c50-4098-b15a-7d7fb6de7eb4 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Bevplace++: Fast, robust, and lightweight lidar global localization for unmanned ground vehicles,
Reference 59
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Observation e55cd499-9986-4701-9525-5fe644fb701e · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Bvmatch: Lidar- based place recognition using bird’s-eye view images,
Reference 60
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Unavailable: canonical work link unavailable.
Observation c6290134-8460-4a4c-ae9f-74c88b5f8ee2 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models
Reference 61
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Observation 95b666db-d75f-469e-be65-a80a29a94a25 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Dinov2: Learning robust visual features without supervision,
Reference 62
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Observation 81f78a66-b216-4e08-bfb1-ed7a80112c58 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Boxgraph: Semantic place recognition and pose estimation from 3d lidar,
Reference 63
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Observation 624dd69c-a07a-4408-b1d2-bcc61f71d2b0 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Tripletloc: One-shot global localization using semantic triplet in urban environ- ments,
Reference 64
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Observation 9b6ac154-3d2f-4ace-8401-6d1008459696 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Spectral geometric verification: Re-ranking point cloud retrieval for metric localization,
Reference 65
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Observation cd04929e-a3c2-4481-aa14-4837e06e092a · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Lcdnet: Deep loop closure detection and point cloud registration for lidar slam,
Reference 66
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Observation dc82ccce-9837-44f5-b6c1-f316a096187d · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Egonn: Egocen- tric neural network for point cloud based 6dof relocalization at the city scale,
Reference 67
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Observation 3c6bdaef-429e-4647-bcae-4b46bc3436bb · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Towards operational marker-free registration of terrestrial lidar data in forests,
Reference 68
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Observation 148eb999-51fc-4af8-9910-b3e4dc1f73f1 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Ground-to-air collaborative lidar global localization in forest environments,
Reference 69
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Observation fd2169f5-8ebd-4a77-a3d1-af4fa3672738 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Fast-lio2: Fast direct lidar-inertial odometry,
Reference 70
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Observation 816e0299-dae0-48a5-8c16-b9c786461a17 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Direct lidar-inertial odometry: Lightweight lio with continuous-time motion correction,
Reference 71
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Observation 01aa13c7-4e7f-4e7e-a20b-476e9b81aedd · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Geotransformer: Fast and robust point cloud registration with geometric transformer,
Reference 72
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Observation 039f615e-a6a4-470a-90f8-5f79c5d782bb · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory evo: Python package for the evaluation of odometry and slam
Reference 73
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Observation 1e976b42-5459-4d80-8b7d-7218523375ce · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Register any point: Scaling 3d point cloud registration by flow matching,
Reference 74
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Observation f1d6533f-1388-4427-8d6d-83b500669933 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Vilens: Visual, inertial, lidar, and leg odometry for all-terrain legged robots,
Reference 75
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Observation 30e9c494-a5d3-4dc4-975f-10096358baba · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Vision meets robotics: The kitti dataset,
Reference 76
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Observation de703ccc-91b6-4435-973e-61c7b626b4ec · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory 1 year, 1000 km: The oxford robotcar dataset,
Reference 77
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Observation db292693-bc3f-4bba-8194-f251242c09b5 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration,
Reference 78
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Observation 320d81dd-3497-40f6-b8b4-aa368d6cfe01 · outbound
TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory Buffer-x: Towards zero-shot point cloud registration in diverse scenes,
Reference 79
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No inbound Pith citation observations are available.