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Paper Citation Record · LEDGER

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping

As of 20 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2606.17534.

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

pith.paper-citation-record.v1
2606.17534 v1

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measured 67 of 67 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T00:53:10.105566Z

measured 67 of 67 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation 23029854-41bc-48d1-bb07-8be2fceb4e06 · outbound

This paper cites A new wave in robotics: Survey on recent mmwave radar applications in robotics,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping A new wave in robotics: Survey on recent mmwave radar applications in robotics,

Reference 1

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Observation d04d0681-a9ad-4df5-a76e-918983fb241f · outbound

This paper cites Radar-inertial ego-velocity estimation for visually degraded environments,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Radar-inertial ego-velocity estimation for visually degraded environments,

Reference 2

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Observation a61f4732-8973-4b21-b50a-979f0cdae352 · outbound

This paper cites Less is more: Physical-enhanced radar-inertial odometry,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Less is more: Physical-enhanced radar-inertial odometry,

Reference 3

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Observation 22b44ba1-cb89-470f-a47b-cc20e4943f2f · outbound

This paper cites Incorporating point uncertainty in radar SLAM,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Incorporating point uncertainty in radar SLAM,

Reference 4

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Observation 8005ca63-28ba-4d69-9210-fb24342e0369 · outbound

This paper cites DRO: Doppler-Aware Direct Radar Odometry.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping DRO: Doppler-Aware Direct Radar Odometry

Reference 5

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:ac6aba353a69c124a58dc676ef71696451b12cd4d15e6fe58711de7eb6d14b43

Observation cd38f43a-0337-4dcd-ae94-561693871711 · outbound

This paper cites Siegwart, I.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Siegwart, I

Reference 6

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Observation 7a5200bc-0f09-4748-a9bb-d11b696b66f6 · outbound

This paper cites A review of point cloud registration algorithms for mobile robotics,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping A review of point cloud registration algorithms for mobile robotics,

Reference 7

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Observation 4382f6bd-3193-4806-9293-6370bd2d881c · outbound

This paper cites VINS-Mono: A robust and versatile monoc- ular visual-inertial state estimator,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping VINS-Mono: A robust and versatile monoc- ular visual-inertial state estimator,

Reference 8

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Observation 86275433-6474-4dee-8c59-bf88e45d5096 · outbound

This paper cites Do we need scan-matching in radar odometry?.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Do we need scan-matching in radar odometry?

Reference 9

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Observation 9cc6f85a-31aa-4744-a95c-f5b169f3835f · outbound

This paper cites A tutorial on graph-based SLAM,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping A tutorial on graph-based SLAM,

Reference 10

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Observation 9496fd87-3499-48fd-91e4-df6c0b745259 · outbound

This paper cites FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges,

Reference 11

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Observation 06168dba-3c3e-4ebf-9d4a-c199aea4f7d8 · outbound

This paper cites Improving grid-based SLAM with Rao-Blackwellized particle filters by adaptive proposals and selective resampling,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Improving grid-based SLAM with Rao-Blackwellized particle filters by adaptive proposals and selective resampling,

Reference 12

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Observation 3e246fc7-0ef7-4d7c-a4ad-167d08870a1c · outbound

This paper cites Improved techniques for grid mapping with Rao-blackwellized particle filters,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Improved techniques for grid mapping with Rao-blackwellized particle filters,

Reference 13

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Observation b0f4abdc-3799-4858-8d33-c62f3f48432d · outbound

This paper cites Contextual occupancy maps using Gaussian processes,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Contextual occupancy maps using Gaussian processes,

Reference 14

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Observation 21d4b828-4c8a-41fc-abc6-089718a1255f · outbound

This paper cites Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent,

Reference 15

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Observation 22e9f576-35f6-494e-9af4-9514c2c609fb · outbound

This paper cites Hilbert space methods for reduced-rank Gaussian process regression,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Hilbert space methods for reduced-rank Gaussian process regression,

Reference 16

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Observation 901a0ef6-5237-4770-9166-8a8e2bfdce60 · outbound

This paper cites Particle filter localization on continuous occupancy maps,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Particle filter localization on continuous occupancy maps,

Reference 17

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Observation 735e6c15-38c1-4507-90b6-9375a1441f52 · outbound

This paper cites H-slam: Rao-blackwellized particle filter slam using hilbert maps,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping H-slam: Rao-blackwellized particle filter slam using hilbert maps,

Reference 18

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Observation a841a182-6a87-46a9-8d75-b06b686de144 · outbound

This paper cites Using occupancy grids for mobile robot perception and navigation,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Using occupancy grids for mobile robot perception and navigation,

Reference 19

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Observation f9d6f936-b33e-4336-a385-0112a4a429c8 · outbound

This paper cites Learning occupancy grid maps with forward sensor models,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Learning occupancy grid maps with forward sensor models,

Reference 20

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Observation 9d865a4c-23d2-4223-82bd-8010a77c28f4 · outbound

This paper cites Gaussian process occupancy maps,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Gaussian process occupancy maps,

Reference 21

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Observation 8917f4d3-d5ec-4f8d-b211-f007a42e3a7d · outbound

This paper cites SLAM handbook: From localization and mapping to spatial intelligence,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping SLAM handbook: From localization and mapping to spatial intelligence,

Reference 22

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Observation c2a8cef5-e548-4f43-877c-a2ad56cf056d · outbound

This paper cites Rall: end-to-end radar localization on lidar map using differentiable measurement model,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Rall: end-to-end radar localization on lidar map using differentiable measurement model,

Reference 23

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Observation 7eef01bf-2da2-4d4e-a7d6-7ade73a850a1 · outbound

This paper cites Radarslam: A robust simultaneous localization and mapping system for all weather condi- tions,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Radarslam: A robust simultaneous localization and mapping system for all weather condi- tions,

Reference 24

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Observation cf07047f-30d0-40ac-90e8-dbdde65a9935 · outbound

This paper cites Are doppler velocity measurements useful for spinning radar odometry?.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Are doppler velocity measurements useful for spinning radar odometry?

Reference 25

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Observation 5de0c108-1af4-4660-90c5-0fcd9d3e0c2a · outbound

This paper cites An EKF based approach to radar inertial odometry,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping An EKF based approach to radar inertial odometry,

Reference 26

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:50bbc9e9815dec95893ba4cf12f39c7d1fb0aa1533e9af698edf11c548fae821

Observation 10f1f733-2f7d-48ff-82d5-dc9d63c8c060 · outbound

This paper cites Multi-state tightly- coupled EKF-based radar-inertial odometry with persistent landmarks,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Multi-state tightly- coupled EKF-based radar-inertial odometry with persistent landmarks,

Reference 27

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Observation 8d18a0e2-08e5-4a6f-ac86-12f8776e3648 · outbound

This paper cites 4D iRIOM: 4D imaging radar inertial odometry and mapping,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping 4D iRIOM: 4D imaging radar inertial odometry and mapping,

Reference 28

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Observation a8332ba2-dcac-4f62-9014-4a088d1b36fc · outbound

This paper cites 4DRadarSLAM: A 4D imaging radar SLAM system for large-scale environments based on pose graph optimization,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping 4DRadarSLAM: A 4D imaging radar SLAM system for large-scale environments based on pose graph optimization,

Reference 29

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:82294d27a883e3f83b76eba66e5adf6379f222125918e504a1a0589fe456cc23

Observation 5e3beeca-0a0d-49af-91b3-6e7fdc79042c · outbound

This paper cites RIV-SLAM: Radar-inertial-velocity optimization based graph SLAM,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping RIV-SLAM: Radar-inertial-velocity optimization based graph SLAM,

Reference 30

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Observation 9e609743-4ef8-4f87-8a6f-117a2a09fb2b · outbound

This paper cites RaI-SLAM: Radar- inertial SLAM for autonomous vehicles,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping RaI-SLAM: Radar- inertial SLAM for autonomous vehicles,

Reference 31

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Observation b0ff9a74-6823-4c27-985f-6a2607009edb · outbound

This paper cites milliEgo: Single-chip mmwave radar aided egomotion estimation via deep sensor fusion,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping milliEgo: Single-chip mmwave radar aided egomotion estimation via deep sensor fusion,

Reference 32

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Observation 6cd95a8c-b8c5-4a9b-ad47-053482fde2f4 · outbound

This paper cites Instantaneous ego-motion estimation using multiple Doppler radars,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Instantaneous ego-motion estimation using multiple Doppler radars,

Reference 33

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Observation 8274860f-4c04-4afa-b53f-387d37e23129 · outbound

This paper cites A survey on global lidar localization: Challenges, advances and open problems,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping A survey on global lidar localization: Challenges, advances and open problems,

Reference 34

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Observation e80f3cc1-586d-4e62-9463-ad81a3f9abaf · outbound

This paper cites Real-time pose graph SLAM based on radar,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Real-time pose graph SLAM based on radar,

Reference 35

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Observation 12f2be10-f628-4b17-8499-fe29d5ca7305 · outbound

This paper cites RadarSLAM: Radar based large- scale SLAM in all weathers,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping RadarSLAM: Radar based large- scale SLAM in all weathers,

Reference 36

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Observation 07170f75-bc6a-4e1d-a157-5274c8b1607c · outbound

This paper cites M2DP: A novel 3D point cloud de- scriptor and its application in loop closure detection,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping M2DP: A novel 3D point cloud de- scriptor and its application in loop closure detection,

Reference 37

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:fa167c64c64cc708f33c76d4740b889b96b6ed7fc5aa6727ad618d7f937c9e01

Observation 51685e60-063c-44ab-92c0-6007a74e4b4c · outbound

This paper cites Scan context: Egocentric spatial descriptor for place recognition within 3D point cloud map,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Scan context: Egocentric spatial descriptor for place recognition within 3D point cloud map,

Reference 38

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:ea51a7248e0e8aba492e76233ae36b541da785b4594a07ba946d7812f3b56cf3

Observation de0f7dc1-d166-4cd4-9f29-12c9f182bb38 · outbound

This paper cites V oxelized GICP for fast and accurate 3D point cloud registration,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping V oxelized GICP for fast and accurate 3D point cloud registration,

Reference 39

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:cbb4d4b177d613a1599edffe7b3d6ffda02801a7f047273ff84372438dfecb62

Observation 59ab56a6-1d48-436a-8608-d01f740f13b8 · outbound

This paper cites 4D radar-based pose graph SLAM with ego-velocity pre-integration factor,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping 4D radar-based pose graph SLAM with ego-velocity pre-integration factor,

Reference 40

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:4755b9b99d7f4630adafa8dd44002d0b22d635262b054a20e72987f153ae242c

Observation a07e8d5e-349b-4fc8-afdf-35da9ad7c670 · outbound

This paper cites Intensity scan context: Coding intensity and geometry relations for loop closure detection,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Intensity scan context: Coding intensity and geometry relations for loop closure detection,

Reference 41

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:a5d2a3305ccc14a3f9ed8ce562f32a9fe49b8a04955efe8265dc8484a101027f

Observation 74ef4bc6-be08-4452-9f33-f4e357f18354 · outbound

This paper cites Loop closure with a low power millimeter wave radar sensor using an autoencoder,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Loop closure with a low power millimeter wave radar sensor using an autoencoder,

Reference 42

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:7dea43474a39a1ff377995ec05e10ed282824956ebeb4581e37b5740252cf8b2

Observation 0d768ae8-e583-4ccd-9490-61842ba3ce64 · outbound

This paper cites RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline

Reference 43

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verified exact
arxiv_id, observed 2026-07-03T21:08:58.496858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:4d3ea6bedadb400806fc014ff1520d903e3e9651fb797fb76e6d9c2c19894012

Observation 33431dd9-5ae2-438f-8896-516cfc87e71a · outbound

This paper cites TransLoc4D: Transformer- based 4D radar place recognition,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping TransLoc4D: Transformer- based 4D radar place recognition,

Reference 44

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:215127456f3381ea948e364472c8a3aada65eac9d2d14fdb45b419a2af03a934

Observation d893d0fe-a381-473e-9267-34cd8cd2825e · outbound

This paper cites 4D RadarPR: Context- aware 4D radar place recognition in harsh scenarios,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping 4D RadarPR: Context- aware 4D radar place recognition in harsh scenarios,

Reference 45

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:6fe8628d01fdedd5552dbf62efe1a908d02bf49bd36282f315d3860d611fd55f

Observation 514853cd-d398-462a-9496-2a19b8135aaf · outbound

This paper cites Real-time loop closure in 2D lidar SLAM,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Real-time loop closure in 2D lidar SLAM,

Reference 46

Resolution
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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:104d03805a8901155a7b7febe9099645957bd915be1710870abd7640d5d9fa39

Observation 6284486c-dc6c-4421-9e28-ea553d60b4bc · outbound

This paper cites Online and consistent occupancy grid mapping for planning in unknown environments,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Online and consistent occupancy grid mapping for planning in unknown environments,

Reference 47

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:4f49b122ef5d35653afcc0c22d0926efd8ceef83ab083b929bb7ac88e2d20b98

Observation 011c79ae-5aa6-4a05-9e46-a89c48cdfb8c · outbound

This paper cites ROG-Map: An efficient robocentric occupancy grid map for large-scene and high- resolution lidar-based motion planning,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping ROG-Map: An efficient robocentric occupancy grid map for large-scene and high- resolution lidar-based motion planning,

Reference 48

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:49f2ba48e49d5424ac6b94829518fb66d507ecd9943b4bf2444010612bb09d0e

Observation 6c041aa1-d2d9-406a-9eb2-af7808ac1497 · outbound

This paper cites Is it worth to reason about uncertainty in occupancy grid maps during path planning?.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Is it worth to reason about uncertainty in occupancy grid maps during path planning?

Reference 49

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:c638fdc4a2e6de9b66a83826e882e4dcb9e4857ee4918482b0d1c526afc1c06f

Observation f587c40f-bcfc-495c-97c6-f508ef0f54f2 · outbound

This paper cites Contextual occupancy maps incorporating sensor and location uncertainty,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Contextual occupancy maps incorporating sensor and location uncertainty,

Reference 50

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:1a80aa51cfca1504420733587b1a95488cf1fb63bd8de71a9d0fe9e6e2fc70bf

Observation 06dd672e-2bbf-4d7c-8857-e08a445c968c · outbound

This paper cites Efficient clustering for continuous occupancy mapping using a mixture of Gaussian processes,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Efficient clustering for continuous occupancy mapping using a mixture of Gaussian processes,

Reference 51

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:286fd146e4c15fa7620cd9a26ab341e7d60c92228f1858710caa1ee7bdf97e10

Observation 8dbd81e9-b52c-4d25-8a31-6ee0d07b2dba · outbound

This paper cites iMAP: Implicit mapping and positioning in real-time,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping iMAP: Implicit mapping and positioning in real-time,

Reference 52

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:798a971bcbb8db0e43b76cf3c23d7ce2321c6f04de2d8d17adc71166b50db902

Observation 564ddd83-1d50-4d3f-941c-b313024426f7 · outbound

This paper cites NICE-SLAM: Neural implicit scalable encoding for SLAM,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping NICE-SLAM: Neural implicit scalable encoding for SLAM,

Reference 53

Resolution
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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:634c89b8063a808af11e724a3c9a5324e43416cbb1ccd976440a02e0d1ca46e7

Observation 37fb490d-b60c-405e-9ad9-8fda8b382f3b · outbound

This paper cites PIN-SLAM: LiDAR SLAM using a point-based implicit neural representation for achieving global map consistency,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping PIN-SLAM: LiDAR SLAM using a point-based implicit neural representation for achieving global map consistency,

Reference 54

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:3205893198a1f8a753cd000211cb62970ed4403ab23b6bdb5f5b3024a3984fed

Observation 0e0363b4-6163-46af-80b9-a50984b89c05 · outbound

This paper cites A flexible and scalable SLAM system with full 3D motion estimation,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping A flexible and scalable SLAM system with full 3D motion estimation,

Reference 55

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:b9d8930fe91ee08d8a4d7bd1a6358c16c64c8eae2065b1db0c52d08e4b462d70

Observation d4bf01e9-0748-4bde-a685-def244055fdd · outbound

This paper cites an unresolved cited work.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Unresolved cited work

Reference 56

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:65619b97427b099292d15873d98df5ae86f1d0b1e115da03e5bcd987cf345003

Observation 62e00e81-7093-45f2-aaff-740693468d16 · outbound

This paper cites an unresolved cited work.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Unresolved cited work

Reference 57

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:2ed53ad4e71560b0966318fa657019f7b12f166eac4bc29020af78be79deb861

Observation 26aaea04-ef92-46c4-a6e4-e83ed54e656e · outbound

This paper cites Simultaneous localization and map- ping: Part I,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Simultaneous localization and map- ping: Part I,

Reference 58

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:582759b24a4face1ca9ea195e9317bbe7ee07d52b0f7116d0e0eb68b92e98054

Observation fc381163-8723-471d-9a7e-00ca34dab1ca · outbound

This paper cites Parameter elimination in particle Gibbs sampling,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Parameter elimination in particle Gibbs sampling,

Reference 59

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:459bab943be22c34227f6c5b7f6d82a9f853790b48cbbe04eb26288ac3fc6cc5

Observation 8f38ba06-5bf2-4ae0-910d-95894127b537 · outbound

This paper cites Wheel-INS: A wheel-mounted MEMS IMU-based dead reckoning system,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Wheel-INS: A wheel-mounted MEMS IMU-based dead reckoning system,

Reference 60

Resolution
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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:b560423be6b5af84a68d49224c9adb70f481e805873ef9e1e165eea65cfad389

Observation abcecd4f-c0c1-4d7e-8601-1fe4d2519e5b · outbound

This paper cites Novel approach to nonlinear/non-Gaussian Bayesian state estimation,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Novel approach to nonlinear/non-Gaussian Bayesian state estimation,

Reference 61

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:26c3f597cace58c28906a692ea09bf03b41b9f9dc81bfcbaa986158592484d84

Observation 44152526-baa9-49cb-9764-5527375a1009 · outbound

This paper cites Bathymetric particle filter slam using trajectory maps,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Bathymetric particle filter slam using trajectory maps,

Reference 62

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:a57f2ed12a827e2b56561bbf3ed59b4a280858e497aded5bf0f12607352ede21

Observation e0d97f56-5448-4347-bd00-5864c4c7daf6 · outbound

This paper cites Metropolized independent sampling with comparisons to rejection sampling and importance sampling,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Metropolized independent sampling with comparisons to rejection sampling and importance sampling,

Reference 63

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:c0988dfef7ffd80f7d39a39d8040e143206612d943882f7bd6275c0e3e89ee28

Observation bef4df60-087b-4ef3-8f83-c3eb434c4606 · outbound

This paper cites Coloradar: The direct 3D millimeter wave radar dataset,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Coloradar: The direct 3D millimeter wave radar dataset,

Reference 64

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:c8a69764a5db4611f8efede1bbaa8246df1ee5f7bfe640ede071e14645d62565

Observation f264d842-47ec-44c8-88ad-8217a2015990 · outbound

This paper cites The Sharpe ratio,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping The Sharpe ratio,

Reference 65

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:8414d51d6abcf49405630eb3c878e87a560e44d74821e9b31847ec565c85ac48

Observation 67639ff0-7c49-476e-af32-c89db128846c · outbound

This paper cites Scalable magnetic field SLAM in 3D using Gaussian process maps,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Scalable magnetic field SLAM in 3D using Gaussian process maps,

Reference 66

Resolution
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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:a63b885179545f74a88937c08cb2d44ca3ca436ba161b458be277c0cbf22e211

Observation 7b5c7674-7928-4f56-9c50-998a46797047 · outbound

This paper cites Robust mapping and localization in indoor environments using sonar data,.

RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping Robust mapping and localization in indoor environments using sonar data,

Reference 67

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source=pdf_text observed=2026-06-27T00:53:10.105566Z digest=sha256:a6489a2851f4b58ecca5cd6693e5b7356f1e9597b573642cd73eda26c0528328

Pith citing papers

No inbound Pith citation observations are available.