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Paper Citation Record · LEDGER

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2603.29227.

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

pith.paper-citation-record.v1
2603.29227 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:10:35.293815Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:53:55.732221Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 179a56b7-fadb-409f-8124-82bd268a20d7 · outbound

This paper cites OctoMap: An Efficient Probabilistic 3D Mapping Framework Based on Octrees,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression OctoMap: An Efficient Probabilistic 3D Mapping Framework Based on Octrees,

Reference 1

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source=pdf_text observed=2026-08-02T17:10:35.148112Z digest=sha256:6fc8b798dcccfe49544fb87c78315e68cf21274439ed9a03262ee597bb25b442

Observation aa01ddd2-8e94-4fe0-9578-6ee8afa8620e · outbound

This paper cites Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments,

Reference 2

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source=pdf_text observed=2026-08-02T17:10:35.152579Z digest=sha256:3077f4013cc97c8ec7785ae259b3c169b7f5de0e5f1ca3d772dc8e78f0993d9b

Observation 87bb3f64-e6b7-46da-aa39-82df8786b217 · outbound

This paper cites Sparse- to-Dense Matching Network for Large-Scale LiDAR Point Cloud Reg- istration,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Sparse- to-Dense Matching Network for Large-Scale LiDAR Point Cloud Reg- istration,

Reference 3

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source=pdf_text observed=2026-08-02T17:10:35.156447Z digest=sha256:4aa00e75f544151329e45e353db67ceb4f3d4e766a4af97cf478e6c7bb8a1db5

Observation a5253ed0-e04e-4aec-8ea9-0b16f491d270 · outbound

This paper cites Dynamic 3D Point Cloud Sequences as 2D Videos,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Dynamic 3D Point Cloud Sequences as 2D Videos,

Reference 4

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source=pdf_text observed=2026-08-02T17:10:35.160171Z digest=sha256:fb56f574cc07ba9f3629dcffe219b5d81f01e5c575867f0c5988a2d41d5a0f43

Observation be64bba9-ff2e-435f-a080-5944f98bd006 · outbound

This paper cites Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images,

Reference 5

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source=pdf_text observed=2026-08-02T17:10:35.163370Z digest=sha256:6c0d4fe6e055b021fe6d08153fdf006048cd106b356c11feae84f5798535e0be

Observation 848f1843-269c-47d3-a8f7-51f382e17b87 · outbound

This paper cites Kimera: an Open- Source Library for Real-Time Metric-Semantic Localization and Map- ping,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Kimera: an Open- Source Library for Real-Time Metric-Semantic Localization and Map- ping,

Reference 6

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source=pdf_text observed=2026-08-02T17:10:35.166718Z digest=sha256:ee2ea85a51652e82c6898e2d7211da77cc0a4828296dfa487fb90cec1b0f2ae5

Observation 0a7b4f4d-dba2-4137-a5d2-f01a21939d95 · outbound

This paper cites KinectFusion: Real-time dense surface mapping and tracking,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression KinectFusion: Real-time dense surface mapping and tracking,

Reference 7

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source=pdf_text observed=2026-08-02T17:10:35.170288Z digest=sha256:ff789325cdc900898efe75743d9df00ceda42d6d979f9fb06046c36c33010ff9

Observation cca525dd-aa26-46b6-9c63-373930a70a96 · outbound

This paper cites V oxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MA V planning,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression V oxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MA V planning,

Reference 8

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source=pdf_text observed=2026-08-02T17:10:35.173222Z digest=sha256:242c5de142c699015238b8e270393daf1f9e8af62cd3fb03151dd6561e236753

Observation 0f94716d-7b38-4aae-aad9-e4e3d00ffd8e · outbound

This paper cites DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation,

Reference 9

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source=pdf_text observed=2026-08-02T17:10:35.176694Z digest=sha256:78ffb3c96b561388445ddc0b91e5eba07c78407c3d21ae5cf4c61cf6bccdfda1

Observation c78b6370-9c7b-49dc-ae07-f4dc5a49ae80 · outbound

This paper cites FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots,

Reference 10

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source=pdf_text observed=2026-08-02T17:10:35.179987Z digest=sha256:2fef53d692b926c7f49cdc07565850c31eabad4a7de520f7b5bd31baf92b1fc1

Observation 9e88e3fa-c127-4075-8610-2c28b4438265 · outbound

This paper cites Online Continuous Mapping using Gaussian Process Implicit Surfaces,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Online Continuous Mapping using Gaussian Process Implicit Surfaces,

Reference 11

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source=pdf_text observed=2026-08-02T17:10:35.182971Z digest=sha256:3d24c0355aa864c18b5b74a1c26855e3751c440c7452c9d07aec473bc9d4cb74

Observation a4b38232-6885-46e3-bc51-f0897d67ba02 · outbound

This paper cites Faithful Euclidean Distance Field From Log-Gaussian Process Implicit Surfaces,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Faithful Euclidean Distance Field From Log-Gaussian Process Implicit Surfaces,

Reference 12

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source=pdf_text observed=2026-08-02T17:10:35.186600Z digest=sha256:b5b07ae75bfdfbb2ad0c7c41ffca1922567062d75f7ec10624da9b4a734fe654

Observation 01517be8-379f-4331-b8dc-d3c6ca1b4b08 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by V olume Rendering for Multi-view Reconstruction,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression NeuS: Learning Neural Implicit Surfaces by V olume Rendering for Multi-view Reconstruction,

Reference 13

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source=pdf_text observed=2026-08-02T17:10:35.189789Z digest=sha256:ce0594499416f89ac2443b89cde36cc7d9571b96d81c9ea021a1746207759a14

Observation 12a14731-7189-4d2d-8129-ba06ba2e9be8 · outbound

This paper cites Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes,

Reference 14

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source=pdf_text observed=2026-08-02T17:10:35.193131Z digest=sha256:7a7a4af3bfca3fdac58da2cad667abb5b8603f1f89e89d313b8e823494a93014

Observation 80f2fe4f-d75f-4803-923a-ef7c21a60cc3 · outbound

This paper cites VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data,

Reference 15

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source=pdf_text observed=2026-08-02T17:10:35.196191Z digest=sha256:33a324c86ddcb024a758a332b53017261f780f0c768f5d624bd0be6e6558a61c

Observation f9044cc5-de05-47e8-9e3f-61c0f3825b2e · outbound

This paper cites V oxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression V oxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction,

Reference 16

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source=pdf_text observed=2026-08-02T17:10:35.199603Z digest=sha256:d332de2708a012ee10a2399f7937307973efb04723aa9937d07f731befd64f0a

Observation 958fda1c-a13c-40e9-af79-d848f325015a · outbound

This paper cites iSDF: Real-Time Neural Signed Distance Fields for Robot Perception,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression iSDF: Real-Time Neural Signed Distance Fields for Robot Perception,

Reference 17

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source=pdf_text observed=2026-08-02T17:10:35.202583Z digest=sha256:2f0898b30366714d4669daf42447327c12d22e0325b2817b991b7a4971f54c3e

Observation 629d97e0-2bdc-4c5a-a993-a8aaaddd3503 · outbound

This paper cites NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction,

Reference 18

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source=pdf_text observed=2026-08-02T17:10:35.205271Z digest=sha256:b39ef1da7423e7a778a4d294bf9dbb133ad1a03ac7a74e3d4fe888242fbde8fe

Observation 11eefdac-ebf2-4748-85f5-1c248479f0e7 · outbound

This paper cites H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation,

Reference 19

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source=pdf_text observed=2026-08-02T17:10:35.208122Z digest=sha256:e9f865b4d68e02fc10773f001571488d6062378c6136a2c0a24db69bf57150ff

Observation 4e4a8e5f-a97f-4548-b01d-3ee19e3632df · outbound

This paper cites Accurate Gaussian-Process-Based Distance Fields With Applications to Echolocation and Mapping,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Accurate Gaussian-Process-Based Distance Fields With Applications to Echolocation and Mapping,

Reference 20

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source=pdf_text observed=2026-08-02T17:10:35.211260Z digest=sha256:4da97cc6c3fd8d76a9540b4895e96651f68524c20e105ce189256d6f9211cc76

Observation 8a0581d6-1c76-4591-89ee-e1e517cb6298 · outbound

This paper cites PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency,

Reference 21

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source=pdf_text observed=2026-08-02T17:10:35.214958Z digest=sha256:8483c9ea1fed6874cbeed14107e11b7df8c49bfb70dba32c9fde56372c5e39f9

Observation 10dd016a-ebe6-4d27-bba3-605dbaf420b8 · outbound

This paper cites 3D Uncertain Implicit Surface Mapping Using GMM and GP,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression 3D Uncertain Implicit Surface Mapping Using GMM and GP,

Reference 22

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source=pdf_text observed=2026-08-02T17:10:35.218012Z digest=sha256:5f5b42813d4f67303883763ac55e19bbe7ef574167cecb088bebba58c019efea

Observation 35a5e4b5-a858-43c6-b861-a5e83e4f04c4 · outbound

This paper cites VDB-GPDF: Online Gaussian Process Distance Field With VDB Structure,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression VDB-GPDF: Online Gaussian Process Distance Field With VDB Structure,

Reference 23

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source=pdf_text observed=2026-08-02T17:10:35.220844Z digest=sha256:942404f99a92f4a25761bb9ecabdf7cf5fbededba03b74bb61110139330a2d32

Observation 5749a7ae-b86e-4acd-9579-be29fe61c11a · outbound

This paper cites MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction,

Reference 24

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source=pdf_text observed=2026-08-02T17:10:35.223817Z digest=sha256:bf44a6e2628f5b9339e3f31f3fc2d9e685fdb5b3aadd71d9f9f894e9e529ef37

Observation 47cb9792-cff8-4206-a21b-cf16283c9abb · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,

Reference 25

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source=pdf_text observed=2026-08-02T17:10:35.226782Z digest=sha256:f2ae4f73eea4813527f121c89c48b19c8fb40e965fc7dc6858551b2d48afb478

Observation 543edbf1-5881-4a73-a676-8002d2eeb8a1 · outbound

This paper cites Safe Bubble Cover for Motion Planning on Distance Fields.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Safe Bubble Cover for Motion Planning on Distance Fields

Reference 26

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source=pdf_text observed=2026-08-02T17:10:35.229758Z digest=sha256:ae541de3632a4d4e10e624b3fffc6a63503b4058389dc24ad5f64e16136312c6

Observation 20b2bc44-7e7e-4909-abdf-10939075a669 · outbound

This paper cites Configuration Space Distance Fields for Manipulation Planning,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Configuration Space Distance Fields for Manipulation Planning,

Reference 27

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source=pdf_text observed=2026-08-02T17:10:35.232997Z digest=sha256:d828becdaf17eb83d1336432c98c63006fe9161256581b8bed68662dca3cfc23

Observation 67526037-fe9a-40dc-abb0-6dc2675528c6 · outbound

This paper cites Sensor- based distributionally robust control for safe robot navigation in dynamic environments,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Sensor- based distributionally robust control for safe robot navigation in dynamic environments,

Reference 28

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source=pdf_text observed=2026-08-02T17:10:35.236617Z digest=sha256:779f1b4090e7fb6bb2b3a431649321577e1de3659deb1f16033cb4ad4983da20

Observation c2874c39-cdd9-4736-aa8c-c8ddc2700c05 · outbound

This paper cites Representing Robot Ge- ometry as Distance Fields: Applications to Whole-body Manipulation,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Representing Robot Ge- ometry as Distance Fields: Applications to Whole-body Manipulation,

Reference 29

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source=pdf_text observed=2026-08-02T17:10:35.239426Z digest=sha256:f899a6fc130c373b3329c9e60dbec2af4a76693d983e69cbe8a7b634f27decbb

Observation b5257ee8-9538-4c77-bb73-6fd1a0c70c56 · outbound

This paper cites VDBblox: Accurate and Efficient Distance Fields for Path Planning and Mesh Reconstruction,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression VDBblox: Accurate and Efficient Distance Fields for Path Planning and Mesh Reconstruction,

Reference 30

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source=pdf_text observed=2026-08-02T17:10:35.242421Z digest=sha256:44439b991b179005977e6f7d8fad08543b0266a6da9a9485002ef08596e354a3

Observation 799f355e-76eb-41c1-b37e-fd62ffae218c · outbound

This paper cites nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping,

Reference 31

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source=pdf_text observed=2026-08-02T17:10:35.245999Z digest=sha256:b6f5133f7533de2bae3030c2155ebcc37103610e0f34b3efd64962738817582e

Observation 8ac8c259-9ee8-4a86-bb62-74fdac287cf1 · outbound

This paper cites Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping,

Reference 32

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source=pdf_text observed=2026-08-02T17:10:35.248693Z digest=sha256:f8af3df532dc0118bf48246956d133228a7b42b5a62c1a673fc951ece5b12fa1

Observation 22b0e5a5-fac1-43c2-ac37-17d1a8a2e496 · outbound

This paper cites Marching Cubes: A High Resolution 3D Surface Construction Algorithm,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Marching Cubes: A High Resolution 3D Surface Construction Algorithm,

Reference 33

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source=pdf_text observed=2026-08-02T17:10:35.251758Z digest=sha256:d8d106c9cbd4726705eccb8efeaf0305eb8839303be3bafd79ef9755639cfd07

Observation 790bc846-1b01-40ce-a625-8e0f04769076 · outbound

This paper cites A V olumetric Method for Building Complex Models from Range Images,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression A V olumetric Method for Building Complex Models from Range Images,

Reference 34

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source=pdf_text observed=2026-08-02T17:10:35.255007Z digest=sha256:1b7b4fe8257f7733e12364f5a5da8362aa137cb03dc4c9e186b5194dd2d4f45f

Observation 1591cd95-1fd7-43bc-a0a9-bcf23e6780b9 · outbound

This paper cites VDB: High-resolution Sparse V olumes with Dynamic Topology,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression VDB: High-resolution Sparse V olumes with Dynamic Topology,

Reference 35

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Observation e0d2b21c-3b74-40f3-b659-fd13f1f95982 · outbound

This paper cites A Variational Approach to Bayesian Logistic Regression Models and their Extensions,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression A Variational Approach to Bayesian Logistic Regression Models and their Extensions,

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This paper cites Gaussian Process Implicit Surfaces,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Gaussian Process Implicit Surfaces,

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Observation 07dd1c08-6677-4dec-94c4-2a8ecf7b2f54 · outbound

This paper cites On the Behavior of the Fundamental Solution of the Heat Equation with Variable Coefficients,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression On the Behavior of the Fundamental Solution of the Heat Equation with Variable Coefficients,

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This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 39

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Observation 14fe3046-137a-445d-8c4d-03df39828758 · outbound

This paper cites Multi-Camera LiDAR Inertial Extension to the Newer College Dataset.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Multi-Camera LiDAR Inertial Extension to the Newer College Dataset

Reference 40

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Observation b9278e2c-dbdd-4105-b775-950d860ebd3a · outbound

This paper cites Analysis and noise modeling of the intel realsense d435 for mobile robots,.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Analysis and noise modeling of the intel realsense d435 for mobile robots,

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This paper cites Perfor- mance is further boosted by updating voxels in a sorted, along- ray order (Fig.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression Perfor- mance is further boosted by updating voxels in a sorted, along- ray order (Fig

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This paper cites The local BHMs are placed at the depthD tree −1, which means the local BHM bounding box size is twice the octree voxel size.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression The local BHMs are placed at the depthD tree −1, which means the local BHM bounding box size is twice the octree voxel size

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This paper cites For Cow&Lady dataset, we sample 54k points from the ground truth point cloud and the reconstructed mesh, respectively.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression For Cow&Lady dataset, we sample 54k points from the ground truth point cloud and the reconstructed mesh, respectively

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This paper cites The grid resolution is set to 0.05m for the Replica and Cow&Lady datasets, and 0.2m for the Newer College dataset.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression The grid resolution is set to 0.05m for the Replica and Cow&Lady datasets, and 0.2m for the Newer College dataset

Reference 45

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Observation 51e224e2-04f6-4607-a1dc-2e7248724adc · outbound

This paper cites For a fair comparison, we measure the average update time per scan for all methods.

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression For a fair comparison, we measure the average update time per scan for all methods

Reference 46

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Pith citing papers

Observation 06b2d018-1a59-48f2-91f4-df3ef4a30e7b · inbound

From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs cites this paper.

From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression

Reference 5

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