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Paper Citation Record · LEDGER

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling

As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2607.17852.

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

pith.paper-citation-record.v1
2607.17852 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:51:27.663808Z

measured 70 of 70 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

70 of 70 outbound references displayed

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Outbound references

Observation 6b1800c1-ae0b-4936-894f-0aab6d56acb1 · outbound

This paper cites A Survey on Indoor Vehicle Localization Through RFID Technology,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Survey on Indoor Vehicle Localization Through RFID Technology,

Reference 1

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Observation aa4f5d4b-bd66-40ab-bf77-e8f0a0aae948 · outbound

This paper cites Adaptive Kalman Fil- tering for GPS-based Mobile Robot Localization,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Adaptive Kalman Fil- tering for GPS-based Mobile Robot Localization,

Reference 2

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Observation 20f2cc6c-e331-4783-b79e-b38b849ce581 · outbound

This paper cites Comparison of Indoor Robot Local- ization Techniques in the Absence of GPS,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Comparison of Indoor Robot Local- ization Techniques in the Absence of GPS,

Reference 3

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Observation 3277f1a2-4a23-4c20-8e4f-11802be0e754 · outbound

This paper cites Sensor Fusion of INS, Odometer and GPS for Robot Localization,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Sensor Fusion of INS, Odometer and GPS for Robot Localization,

Reference 4

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Observation 9f888563-abb5-45c3-b98f-dce6e2ec3af0 · outbound

This paper cites A Survey of Robot Swarms’ Relative Localization Method,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Survey of Robot Swarms’ Relative Localization Method,

Reference 5

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Observation e4e504ae-1489-4cf4-a047-6fa29b6c84d6 · outbound

This paper cites A Survey of Recent Indoor Localization Scenarios and Methodologies,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Survey of Recent Indoor Localization Scenarios and Methodologies,

Reference 6

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Observation d6f413cf-9006-4a75-856a-dc9eeb16d20f · outbound

This paper cites Application of QR Code for Localization and Navigation of Indoor Mobile Robot,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Application of QR Code for Localization and Navigation of Indoor Mobile Robot,

Reference 7

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Observation f0c96785-958a-4267-9381-d71f59950d15 · outbound

This paper cites A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision,

Reference 8

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Observation e207124e-c76c-4583-8b9f-f1545d1a3e50 · outbound

This paper cites Indoor Localization of Mobile Robots Through QR Code Detection and Dead Reckoning Data Fusion,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Indoor Localization of Mobile Robots Through QR Code Detection and Dead Reckoning Data Fusion,

Reference 9

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Observation a102ea8c-84e7-498d-aaa6-6035d31b5cb4 · outbound

This paper cites Performance Bounds in Positioning with the VIVE Lighthouse System,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Performance Bounds in Positioning with the VIVE Lighthouse System,

Reference 10

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Observation 05678274-2315-4cc2-a27b-a15d24a00ee3 · outbound

This paper cites DronOS: a flexible open- source prototyping framework for interactive drone routines,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling DronOS: a flexible open- source prototyping framework for interactive drone routines,

Reference 11

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Observation a32c7283-e60a-408b-86fa-65fceac1aa97 · outbound

This paper cites Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research

Reference 12

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Observation 64a68eef-2e6d-41fd-b684-bc8587307769 · outbound

This paper cites Global Self-Localization of a Robot in Underground Mines,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Global Self-Localization of a Robot in Underground Mines,

Reference 13

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Observation 3afefd9b-b4d1-4896-b02f-f17b4f485734 · outbound

This paper cites Robust Localization for Underground Mining Vehicles: An Application in a Room and Pillar Mine,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Robust Localization for Underground Mining Vehicles: An Application in a Room and Pillar Mine,

Reference 14

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Observation 0b8695c8-74b5-498f-94ca-62d05a67dcb7 · outbound

This paper cites Three-dimensional Lo- calization and Mapping for Mobile Robot in Disaster Environments,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Three-dimensional Lo- calization and Mapping for Mobile Robot in Disaster Environments,

Reference 15

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Observation c2a8f025-79f4-47e1-a989-37c106f98bda · outbound

This paper cites Localization Using Triangulation in Swarms of Autonomous Rescue Robots,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Localization Using Triangulation in Swarms of Autonomous Rescue Robots,

Reference 16

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Observation 607b3bc3-c5b6-43f0-99a6-aa4a77b646c7 · outbound

This paper cites A Survey of State-of-the-art on Visual SLAM,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Survey of State-of-the-art on Visual SLAM,

Reference 17

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Observation 7dc5b8d0-78c7-403a-ac03-85abdb85ed54 · outbound

This paper cites The SLAM problem: a survey,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling The SLAM problem: a survey,

Reference 18

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Observation 82648152-b807-40f0-897f-507ca1b7d14c · outbound

This paper cites A Comparative Survey of LiDAR-SLAM and LiDAR based Sensor Tech- nologies,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Comparative Survey of LiDAR-SLAM and LiDAR based Sensor Tech- nologies,

Reference 19

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Observation 5d885c94-96f0-4799-8ab1-d833b860c3a7 · outbound

This paper cites 3D LiDAR SLAM: A Survey,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling 3D LiDAR SLAM: A Survey,

Reference 20

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Observation 7acf7518-cab4-4893-8edc-1e1a364406f9 · outbound

This paper cites Indoor Drone Positioning: Accuracy and Cost Trade-Off for Sensor Fusion,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Indoor Drone Positioning: Accuracy and Cost Trade-Off for Sensor Fusion,

Reference 21

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Observation 92b8e243-7447-499e-83bc-2f08a3326f4f · outbound

This paper cites Localization of Inexpensive Robots with Low-Bandwidth Sensors,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Localization of Inexpensive Robots with Low-Bandwidth Sensors,

Reference 22

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Observation ff856787-ac6c-40be-b1f5-bb47b24298cf · outbound

This paper cites Detection of Privacy- Sensitive Situations for Social Robots in Smart Homes,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Detection of Privacy- Sensitive Situations for Social Robots in Smart Homes,

Reference 23

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Observation 3b920aaf-90b7-4596-8f69-7dd041356159 · outbound

This paper cites The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions to Use Social Robots,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions to Use Social Robots,

Reference 24

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Observation ad91f4a7-1c53-46bb-82a6-16ebf10e6a1f · outbound

This paper cites State Estimation Algorithms for Localization: A Survey,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling State Estimation Algorithms for Localization: A Survey,

Reference 25

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Observation d37ed0d3-613f-4206-9d7d-ca718edb9c46 · outbound

This paper cites Dead reckoning for a lunar rover on uneven terrain,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Dead reckoning for a lunar rover on uneven terrain,

Reference 26

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Observation 0a91476a-ab80-4ce4-8472-48fee423d469 · outbound

This paper cites Analysis of position estimation in a dead reckoning navigation robot,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Analysis of position estimation in a dead reckoning navigation robot,

Reference 27

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Observation 47416127-a2ea-4218-9960-00fe41c30b2c · outbound

This paper cites DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization,

Reference 28

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Observation 0fc1ad64-5db9-4d08-9654-08e502b97dea · outbound

This paper cites Model-Based Deep Learning for Low-Cost IMU Dead Reckoning of Wheeled Mobile Robot,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Model-Based Deep Learning for Low-Cost IMU Dead Reckoning of Wheeled Mobile Robot,

Reference 29

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Observation b11c2b73-7d5c-49aa-a5c0-cde74ef926e8 · outbound

This paper cites Lifelong Localization in Changing Environments,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Lifelong Localization in Changing Environments,

Reference 30

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Observation e0d6f624-1aa7-401b-aea6-edc794f3ad98 · outbound

This paper cites Summary Maps for Lifelong Visual Localization,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Summary Maps for Lifelong Visual Localization,

Reference 31

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Observation a0b5ce63-920e-4f63-a8b9-397315d5d709 · outbound

This paper cites A General Framework for Lifelong Localization and Mapping in Changing Environment,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A General Framework for Lifelong Localization and Mapping in Changing Environment,

Reference 32

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Observation e2ec1a2d-bc66-425a-992f-991dcb059867 · outbound

This paper cites A Systematic Literature Review on Long-term Localization and Mapping for Mobile Robots,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Systematic Literature Review on Long-term Localization and Mapping for Mobile Robots,

Reference 33

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Observation 6d7cbd1f-6da0-4991-8cf9-3949b01e1f9a · outbound

This paper cites LL-Localizer: A Life-Long Localization System based on Dynamic i-Octree.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling LL-Localizer: A Life-Long Localization System based on Dynamic i-Octree

Reference 34

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Observation f1e9f9af-4e78-4a30-bdbe-d3d6c783cd4e · outbound

This paper cites LiLoc: Lifelong Localization Using Adaptive Submap Joining and Egocentric Factor Graph,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling LiLoc: Lifelong Localization Using Adaptive Submap Joining and Egocentric Factor Graph,

Reference 35

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Observation 17650e91-ab69-4761-ab91-5cce440067f9 · outbound

This paper cites SLAM- RAMU: 3D LiDAR-IMU Lifelong SLAM with Relocalization and Autonomous Map Updating for Accurate and Reliable Navigation,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling SLAM- RAMU: 3D LiDAR-IMU Lifelong SLAM with Relocalization and Autonomous Map Updating for Accurate and Reliable Navigation,

Reference 36

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Observation 1d894985-f113-41c6-ae36-2d0d8a70e304 · outbound

This paper cites Guaranteed SLAM—An interval approach,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Guaranteed SLAM—An interval approach,

Reference 37

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source=pdf_text observed=2026-08-01T16:51:27.517588Z digest=sha256:e6c6534cbbe066896a94d5745ecb75a4ad0ccdf123a25caaa4cb2ddd45426ba6

Observation 91183f0e-f4fa-46eb-b15e-2f51c1c88ea5 · outbound

This paper cites Guaranteed inter- val analysis localization for mobile robots,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Guaranteed inter- val analysis localization for mobile robots,

Reference 38

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source=pdf_text observed=2026-08-01T16:51:27.521781Z digest=sha256:5368f6bce8e05b50063f5defdd72f87a7952ea4de73ef02f3ac3f0f3b33a0ca1

Observation a092eeb3-dbbe-454d-ad86-ef3df8132a79 · outbound

This paper cites Guaranteed 2D Pose Graph SLAM With Bounded Noises: An Efficient Interval Approach,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Guaranteed 2D Pose Graph SLAM With Bounded Noises: An Efficient Interval Approach,

Reference 39

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source=pdf_text observed=2026-08-01T16:51:27.525906Z digest=sha256:6db0021135a71f8c6992ebe67c92b351213413749330788f4a6e03cb73087290

Observation 16ee4b39-c03b-4a88-9b56-b29d4de4f83e · outbound

This paper cites Sensor Localization by Few Distance Measurements via the Intersection of Implicit Manifolds,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Sensor Localization by Few Distance Measurements via the Intersection of Implicit Manifolds,

Reference 40

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source=pdf_text observed=2026-08-01T16:51:27.530212Z digest=sha256:101c03632edf381c76ee3047761328c21630a603714c7c2a67e37921bd51d0dd

Observation 6b08cf36-b405-4e9e-9eb7-64ec507686b0 · outbound

This paper cites Localization in Dynamic Planar Environments Using Few Distance Measurements.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Localization in Dynamic Planar Environments Using Few Distance Measurements

Reference 41

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source=pdf_text observed=2026-08-01T16:51:27.534975Z digest=sha256:15142e9ab22363ecc74c0ca8b35483db061c9c5c08cf4471c5d905775b57c506

Observation fb1b6adf-fb35-45ec-a5e1-6c1dda462ba2 · outbound

This paper cites Indoor Localization of UA Vs Using Only Few Measurements by Output-Sensitive Preimage Intersection,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Indoor Localization of UA Vs Using Only Few Measurements by Output-Sensitive Preimage Intersection,

Reference 42

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source=pdf_text observed=2026-08-01T16:51:27.539605Z digest=sha256:842a965c52ad99d79c2c8408aafb788997cb8561ff447c040258602f2748550e

Observation f9cbe846-73a4-45ba-bd57-efde5b6da37c · outbound

This paper cites Bayesian filtering: From Kalman filters to particle filters, and beyond,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Bayesian filtering: From Kalman filters to particle filters, and beyond,

Reference 43

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source=pdf_text observed=2026-08-01T16:51:27.543972Z digest=sha256:402c55a16aefc9c6c5b555f2d49e7339687de6cafacd244de939c5e5a730600a

Observation d1dbda5a-840a-4d2e-b6cd-842e739cbb4f · outbound

This paper cites nanobind: Tiny and Efficient C++/Python Bindings,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling nanobind: Tiny and Efficient C++/Python Bindings,

Reference 44

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source=pdf_text observed=2026-08-01T16:51:27.548355Z digest=sha256:167039beeab5b9d43d9b67bc0138e88d17702524bfdeeb6bee175a714cbb4e64

Observation 02c5a402-7a8a-4bbf-a48c-0fef5eb395ac · outbound

This paper cites Robot Oper- ating System 2: Design, Architecture, and Uses in the Wild,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Robot Oper- ating System 2: Design, Architecture, and Uses in the Wild,

Reference 45

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source=pdf_text observed=2026-08-01T16:51:27.552980Z digest=sha256:96467396d0ba40265f23a039e08ee1227c8a87db4b401a825a7b529a76c8f876

Observation b9fab12f-3fde-435d-b7a2-a3f8862d99f5 · outbound

This paper cites Botsch, L.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Botsch, L

Reference 46

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source=pdf_text observed=2026-08-01T16:51:27.557689Z digest=sha256:663e73860b43624149c6a8d772095574ae7ee37625ef057b02b0b15b7f4da30a

Observation 4b33e4fa-48d2-4bf1-acac-a423809b6e24 · outbound

This paper cites Neural marching cubes,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Neural marching cubes,

Reference 47

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source=pdf_text observed=2026-08-01T16:51:27.562191Z digest=sha256:03d10190d4f2cb443138bc852bf2819a0c8130f07238b7016cf9a38e3ac6a29b

Observation 90f528b2-ce11-471e-bf5a-54477855bee1 · outbound

This paper cites Marching cubes: a high resolution 3D surface construction algorithm,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Marching cubes: a high resolution 3D surface construction algorithm,

Reference 48

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source=pdf_text observed=2026-08-01T16:51:27.566782Z digest=sha256:533ea7b10ba3e65663eee0b101021bf03375170ccf79acd5f1f7e0189db8e5c5

Observation ac03751a-b7d6-4297-a009-5a0fc62950ef · outbound

This paper cites A survey of the marching cubes algorithm,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A survey of the marching cubes algorithm,

Reference 49

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source=pdf_text observed=2026-08-01T16:51:27.571244Z digest=sha256:04a8874ed5be1793b952db167b3f5712b41f9516481272f287e1ab39abecb226

Observation 4198e98f-3b21-475c-81f9-b2b4cd6d2ee1 · outbound

This paper cites Dual marching cubes,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Dual marching cubes,

Reference 50

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source=pdf_text observed=2026-08-01T16:51:27.575849Z digest=sha256:4cdab52de36ed47e69fa9ff2f49187680a2b35e904f267eed7e30840df35ba4e

Observation 8071fb4a-7f36-42d4-a449-6541be48962f · outbound

This paper cites Meshing of Surfaces,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Meshing of Surfaces,

Reference 51

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source=pdf_text observed=2026-08-01T16:51:27.580266Z digest=sha256:e922f2f10ef4716774506b4193aacd4d6a008eda482dd2c2c6e7608784c4434b

Observation 8ae1213f-3615-479c-9ecb-89d2b11c3e8b · outbound

This paper cites Delaunay stability via pertur- bations,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Delaunay stability via pertur- bations,

Reference 52

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source=pdf_text observed=2026-08-01T16:51:27.584784Z digest=sha256:9bde4af03fe76456cc6ea8fd17539ae3e79ea97621a564d720293fd9d05eb33c

Observation 93de8474-ecbf-4721-9ad6-aff03fc4b7c0 · outbound

This paper cites Anisotropic Delaunay Mesh Generation,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Anisotropic Delaunay Mesh Generation,

Reference 53

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source=pdf_text observed=2026-08-01T16:51:27.589318Z digest=sha256:61ac4500ecdfdf542891ca9a16e6d22188493990909496a749ce910750bb979f

Observation d6a67861-7902-4880-b649-4944c2fd7862 · outbound

This paper cites Quadtrees, Octrees, and Orthtrees,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Quadtrees, Octrees, and Orthtrees,

Reference 54

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source=pdf_text observed=2026-08-01T16:51:27.593715Z digest=sha256:546dad71cae8f2aea5800347f510354a45ebae5354e9a7e3d04e474d6dac93a4

Observation f3d90046-244f-478f-ac92-7b4facd21b7c · outbound

This paper cites Geometric modeling using octree encoding,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Geometric modeling using octree encoding,

Reference 55

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source=pdf_text observed=2026-08-01T16:51:27.597947Z digest=sha256:910abdb3c5fa878b62d7c8d322debe3ac40ed6fd615b7bd1686cfbd632586b7a

Observation 59478610-ff8d-4b93-8258-f4949b0e2b77 · outbound

This paper cites An Overview of Quadtrees, Octrees, and Related Hierarchical Data Structures,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling An Overview of Quadtrees, Octrees, and Related Hierarchical Data Structures,

Reference 56

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source=pdf_text observed=2026-08-01T16:51:27.602309Z digest=sha256:0f3295526f967abaffbf8189328f9882c191e215b5d938d81a1649c8c0c4d79d

Observation 32397edb-8af0-432c-990d-e2e8955a16be · outbound

This paper cites Rods and Rings: Soft Subdivision Planner for R^3 x S^2.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Rods and Rings: Soft Subdivision Planner for R^3 x S^2

Reference 57

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source=pdf_text observed=2026-08-01T16:51:27.606723Z digest=sha256:3a0bd020409ecfd894277d0164a05381c84cc785a6597445ab0a74fb5c6365b8

Observation 27edd587-0e6d-4b96-9365-2dc4598c1faa · outbound

This paper cites On soft predicates in subdivision motion planning,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling On soft predicates in subdivision motion planning,

Reference 58

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source=pdf_text observed=2026-08-01T16:51:27.611376Z digest=sha256:2b31a27e076cfc1539772170edf57df5d8c042971196e2789e01167ef778ffee

Observation 9d0f5b95-ebb9-410e-a212-4f3106448268 · outbound

This paper cites Soft Subdivision Search in Motion Planning, II: Axiomatics,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Soft Subdivision Search in Motion Planning, II: Axiomatics,

Reference 59

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source=pdf_text observed=2026-08-01T16:51:27.615627Z digest=sha256:0d1a727dce348677547d38c9e15384cca950e9fbab4f85c59ef2519c2cab3516

Observation 1cb3e307-dcb6-4539-9a99-aac05c6b9d65 · outbound

This paper cites A Note on the Time Complexity of Using Subdivision Methods for the Approximation of Fibers.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling A Note on the Time Complexity of Using Subdivision Methods for the Approximation of Fibers

Reference 60

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source=pdf_text observed=2026-08-01T16:51:27.620021Z digest=sha256:f5ddd809150f7f5cb2f2c3c008c946dea1161f848787aeceeab2c6c7f2777abe

Observation fdd332b9-e0a0-46d4-9290-73dfc6078545 · outbound

This paper cites Planning Algorithms,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Planning Algorithms,

Reference 61

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source=pdf_text observed=2026-08-01T16:51:27.625153Z digest=sha256:2f82afb72e17f406179441ebb2636c719cc5f1e87e3a2a3e584011bc38620d2a

Observation ddc2e2e3-ecf8-4740-abc2-dbedef741761 · outbound

This paper cites Bayesian filtering for location estimation,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Bayesian filtering for location estimation,

Reference 62

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source=pdf_text observed=2026-08-01T16:51:27.629356Z digest=sha256:cc058d0f52d3f9578ae55eedf7c147d50bc4cc699def13616e25d8aa9d1058d1

Observation 17de696f-e99c-4029-931d-15ca84d78713 · outbound

This paper cites Robust Monte Carlo Localiza- tion for Mobile Robots,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Robust Monte Carlo Localiza- tion for Mobile Robots,

Reference 63

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source=pdf_text observed=2026-08-01T16:51:27.633652Z digest=sha256:330bcf3f34401843bd3b8fdd14caf2412043ae27f5eb4333f3b8bb08c3a9aed9

Observation 2605e7fa-f35c-4d71-9aa8-6071179fc7db · outbound

This paper cites Evans,Measure Theory and Fine Properties of Functions.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Evans,Measure Theory and Fine Properties of Functions

Reference 64

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source=pdf_text observed=2026-08-01T16:51:27.638085Z digest=sha256:69f3d269bc366d45e11036f9d21d4253002cf685018943a05f160fa02a28e027

Observation 03cb1e74-b406-40fe-bd3a-69140287a624 · outbound

This paper cites Monte Carlo localization for mobile robots,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Monte Carlo localization for mobile robots,

Reference 65

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source=pdf_text observed=2026-08-01T16:51:27.642367Z digest=sha256:fd728e25f121df588fba34d36cde833d6b4a3a288a31c2f3b0a0ccac822ebd27

Observation 8ed36c4c-3007-4227-a7a8-4ca9ccc74869 · outbound

This paper cites Random coverings in several dimensions,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling Random coverings in several dimensions,

Reference 66

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source=pdf_text observed=2026-08-01T16:51:27.646588Z digest=sha256:048d05daa6bbb4a5931e3c7373a0423f7b137155efa6108739ff3f0478d7ee66

Observation 5b1ac349-3d50-43ba-8b91-9ff96f24ca8c · outbound

This paper cites OpenMP Application Program Interface Version 3.0,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling OpenMP Application Program Interface Version 3.0,

Reference 67

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source=pdf_text observed=2026-08-01T16:51:27.650785Z digest=sha256:5e76fea933860ee5b91f5434f166d9ff26164cb1ecc4d38a98e41629c3ec0ab8

Observation 69011e89-7a84-45c5-a5d9-347c2f2829f3 · outbound

This paper cites 2D and 3D Fast Intersection and Distance Computation,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling 2D and 3D Fast Intersection and Distance Computation,

Reference 68

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source=pdf_text observed=2026-08-01T16:51:27.654936Z digest=sha256:bd91e4c6c9ef0cd792b760ee78e68303317258c18929889470d73ea7fbd1b1f4

Observation b5450b3e-57e3-4c4a-a295-e964d26e4d51 · outbound

This paper cites SLAM Toolbox: SLAM for the dynamic world,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling SLAM Toolbox: SLAM for the dynamic world,

Reference 69

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source=pdf_text observed=2026-08-01T16:51:27.659337Z digest=sha256:e8f4a760764bb412a15d2756b873fbbbc7752b0db80dae8316e667c48a758765

Observation dec2224b-a14d-4aef-acb6-b8c71ea856aa · outbound

This paper cites The Marathon 2: A Navigation System,.

Lifelong Localization in Dynamic Indoor Environments Combining Odometry with Sparse Distance Sampling The Marathon 2: A Navigation System,

Reference 70

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source=pdf_text observed=2026-08-01T16:51:27.663808Z digest=sha256:6b2ecb2c45d90e79e1e6ee759f9b64fbf6bc3bc809121449e36b7df1884d6231

Pith citing papers

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