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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 4 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 2026-08-04T06:34:03.388597+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=sha256:982de4bc3759d5e3cce1bc0eb782508f9213766a3247f6095863e48d03e4646e

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:b0f9608aa44277141fb3ce9ac976123a0b7ebf575759c954913239058051feb6

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:d72f864e6176febaf60f6287a762b0309baa7cfac9877a24c08308c3f569c917

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=sha256:18815957c9d4038c26db552db6a49db7e03c666938ce0c1227ccd25f6f04bfef

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=sha256:80f6e1ae7c22f0472796f192cd50a30bc490b7779f88b24e3c597882e9d32062

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=sha256:2d5e4633e079551a87a826af9d1c9345557dc7779f2db12374064791ec25ef6b

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=sha256:6d420489b6585ddf952086fa4439ce2518202ba26bf3f058f79f293c9183e383

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=sha256:08e3e7d3a119a47e3031b1b3ea5e5fb2e77a44ec832fcfa74b0396fc36aca213

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:fb77f0ac88e1e4f269da52247bf6678e3bf93c15415a5747b2b271720ed687a9

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:d14553d40174297158252987c3414c977e22da6b6f1e2c06a49d33d4b5cf6c06

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=sha256:3cdbf9eece456cca1b9be6e2145a59c19a2565687327bf141d8f2b4237cd8909

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=sha256:99d5801ec6a45cd45a5b180634e76cd30407428195a7dd29ba34394cace8ff58

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=sha256:38563b4cb3ac6ba406928ef64a05b027401a3f666aef54a0502dfe54b71c14b5

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:f03b86c43aa106768af333badb06d8abf00303d582593ce0ffa22fb3a700813a

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=sha256:2eff7645709345161515e195ac2f65a5b5d84cf1fb4efd9ad1d061cc00c5a7b7

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:df553687e8dc98be9fe8c14a77a7842aaea2fb207135e91691f894a023904a39

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=sha256:0e9b823a9b788db134cded9176a8e2cdaad1422faaff9bfffa935fd7e04ad491

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=sha256:54f721779ed00804edc45108f448a479cf7fafb1228d41727dc1aeab0e8965b7

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=sha256:9defa245a7b993f7333ac706dec9c6a4e494973d42e9e324698df67fc94193c2

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:be44de80616955ba719b4103d614c676bbe7113f76db387e87da1ba4d90e6528

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:b92b13b09ddb2e23918eb6a6783935fbad5865723816b3bf2e5662b573ec8f33

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=sha256:2869d01d3667b23a6e229d90a049b63ba5eec2948f7f4e4d02a219dc4437774a

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=sha256:1727a68f2f34aa1b16fb5a11589fde9f7b46daa89328856590ac97d029024ea6

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:f88e69b6142391b53d66a8a8515de6d5a4be3c07b0bc0a26f4968d46d4ed0526

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:d6868571c49ddd1f23db9d4ad43a7ab44f4a7274e10d8d85b348ed9510c177de

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=sha256:2b53d3c5193733c6babc0f1d793547b62aad072a6cf57d75d4362ac2cce3d9b0

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=sha256:0f735efa751408cdb7da39f84c90bd9fc31a2f6f7240ffc186ee39f77468b4ee

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=sha256:0861ef3bea195c315b4e1ebd0717fa2633514e82d9eddc09d26b13f48a583502

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=sha256:9fe2c77a87f0c4c971d7fa132f81b605c0432713e3a186f75a28bba879fce17a

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=sha256:1775024d0164021e6a6a0f99c7bcdafefff52725dc2d18ad7ce776ae49bf7174

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=sha256:134693b07d55fff5222d8b5777ec916b70a27184c20cb12b4a786d450fe61aef

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=sha256:470ede8a16d875617f04f759b25e39386082c548d12386bb2badfbe8ff7b7189

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=sha256:0b4e5b60c1393d9319fc743808a1c49015112fc1e0b5a8af0849bbd1b01ad09b

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:d2311ef6f69dd482ea178c5ba70fd9dd3f9964a0ff72e283b788679adb8f1fee

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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Observation 0819a0d2-2015-4476-95db-8261ec718edd · outbound

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

Reference 42

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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

Reference 43

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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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