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Paper Citation Record · LEDGER

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM

As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.08388.

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

pith.paper-citation-record.v1
2505.08388 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:01:17.084403Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact3
  • verified fuzzy37
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d007b38-7501-4431-a26c-b873ed374e88 · outbound

This paper cites Pre- impact firefighter fall detection using machine learning on the edge,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Pre- impact firefighter fall detection using machine learning on the edge,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.696582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 37c765b7-f8ff-4372-a7bf-08bccfceb9a6 · outbound

This paper cites Autonomous navigation by mobile robot with sensor fusion based on deep reinforcement learning,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Autonomous navigation by mobile robot with sensor fusion based on deep reinforcement learning,

Reference 2

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verified exact
doi, observed 2026-08-15T22:01:17.133076Z

Source-reported events for the cited work

correction dated 2025-04-28. Source: crossref record 10.3390/s25092780->10.3390/s24123895:correction, observed 2026-07-11T03:08:32.442881+00:00. This notice travels one citation hop only.

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Observation 6447974b-1909-424d-8d7d-6888613df00e · outbound

This paper cites Review of simultaneous localization and mapping (slam) for construction robotics applications,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Review of simultaneous localization and mapping (slam) for construction robotics applications,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.683429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.749013Z digest=sha256:6286ab6a1690b440713a47e7924243d52c0ef43825f15ea7caef8e3f53411c6f

Observation 72f53e5d-0b2f-4634-b6f8-72d357db869f · outbound

This paper cites Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.670649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.753099Z digest=sha256:6689807d200919cfc6c77efae51f288fbedba1581cd76e0918efc490e926f6e2

Observation 0b770068-3df3-41a8-98f0-adb43ed3c6b4 · outbound

This paper cites Loam: Lidar odometry and mapping in real- time.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Loam: Lidar odometry and mapping in real- time

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.658486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.757524Z digest=sha256:98be43f4a1706b13ba36c22636ac7330490809f3e2b76363c42f798271aaa3da

Observation d9c0a8d9-b6b7-4bed-8562-46316db231e1 · outbound

This paper cites Lidar-imu tightly- coupled slam method based on iekf and loop closure detection,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Lidar-imu tightly- coupled slam method based on iekf and loop closure detection,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.645754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.761518Z digest=sha256:bd86195648086e90b606fa38943a09512cfeace16cf69ba2dc6d76e246ac2918

Observation 4a5040f2-0d7c-41ea-a9ba-45d761ee6f78 · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Orb-slam: a versatile and accurate monocular slam system,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.631321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.765961Z digest=sha256:a92eedea145cb967e13668b8de5523dba868d5d28f6bac255d567beac8dfbdb4

Observation d70aebc3-fe87-4b06-b6c6-b93d47fb9ae2 · outbound

This paper cites Optimized sc-f-loam: Optimized fast lidar odometry and mapping using scan context,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Optimized sc-f-loam: Optimized fast lidar odometry and mapping using scan context,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.618322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.769926Z digest=sha256:805251ea705efde5a8c3e3363d9d53f06e7da2500fb68213b7411c0ec66264c3

Observation d99d27da-914d-4536-a853-01bfd49594b4 · outbound

This paper cites An indoor 2d lidar slam and localization method based on artificial landmark assistance,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM An indoor 2d lidar slam and localization method based on artificial landmark assistance,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.605688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.773863Z digest=sha256:11cd5405cdab7d42e1fadf38d25690575699233ed0ec76e7c868551ed9b1a73a

Observation 12df093f-91aa-4c5e-800b-2c440dc2db4f · outbound

This paper cites Multisensor information fusion: Future of environmental perception in intelligent vehicles,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Multisensor information fusion: Future of environmental perception in intelligent vehicles,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.593195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.777727Z digest=sha256:f64d3986ba7bd31f643117c04b6631014277833c2a71e0dc9a583689da87253e

Observation 8af4ac24-80f3-4f3b-9ff0-cca76ef9c10c · outbound

This paper cites Wearable-based slam with sensor fusion in firefighting operations,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Wearable-based slam with sensor fusion in firefighting operations,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.580315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.783034Z digest=sha256:2b91afd0c393f1dcbdf60f1692da483a80a8c9d0edd27af804577581abd7ab7d

Observation 6dbc1f7a-d09b-40cf-b753-7c038e349192 · outbound

This paper cites Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:16.786798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:16.786798Z digest=sha256:081b6630852da9347fa1c11a47580c81a1c10f63ef970b6718ec0ae07bbd4dae

Observation 82e3443c-05f3-4c2c-827d-ca1bd0c0441e · outbound

This paper cites Low-cost camera and 2-d lidar fusion for target vehicle corner detection and tracking: Applications to micromobility devices,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Low-cost camera and 2-d lidar fusion for target vehicle corner detection and tracking: Applications to micromobility devices,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.559654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.790635Z digest=sha256:6e8490a761a1f7aeca145dc873c249848a0de958375e8a8892d70fe766770938

Observation 46757438-ad40-4474-84e0-55c13ee9f0a7 · outbound

This paper cites Lloam: Lidar odometry and mapping with loop-closure detection based correction,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Lloam: Lidar odometry and mapping with loop-closure detection based correction,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.546266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.795216Z digest=sha256:cde2606323b13f3125a8d4b0b840fd2795d45d57c60e5f9edc4310ec608bf306

Observation e3f256cd-d6b3-4c7f-99cb-c8d5ae77760d · outbound

This paper cites Lego-loam-sc: An improved simultaneous localization and mapping method fusing lego-loam and scan context for underground coalmine,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Lego-loam-sc: An improved simultaneous localization and mapping method fusing lego-loam and scan context for underground coalmine,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.534187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.798866Z digest=sha256:d0e0b959c39fabc4492f79c25a45c90a7077f8ee91b2355a7dc7066bb1170c77

Observation c37499a0-c206-4fd8-9cb0-ad454ccb0f62 · outbound

This paper cites Fast-lio2: Fast direct lidar- inertial odometry,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Fast-lio2: Fast direct lidar- inertial odometry,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:16.802174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:16.802174Z digest=sha256:6e3e4986ad5677a8bf189059876a9f30f0352c6e8d2d537ab9625a981a6ec81d

Observation 49f403e0-fe7d-4b37-8395-e96bae75237f · outbound

This paper cites Convergence and consistency analysis for extended kalman filter based slam,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Convergence and consistency analysis for extended kalman filter based slam,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.513641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.806431Z digest=sha256:54286c2b0ad722271c3c447dd31de0fe48f75f03edbe6b42110ca12101c4b311

Observation 735c385c-5d18-4535-b1d5-b5311c2f3404 · outbound

This paper cites Kalman filter and its application,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Kalman filter and its application,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.500409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.810670Z digest=sha256:2d61e59729afedd7a3810611f581372d7dad90d1a6963126f25a6955d25baf25

Observation 4ac80df5-ceed-4648-b789-4df06fb195f3 · outbound

This paper cites Kalman and extended kalman filters: Concept, derivation and properties,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Kalman and extended kalman filters: Concept, derivation and properties,

Reference 19

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unresolved
no resolver link, observed 2026-08-15T22:01:16.843456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:16.843456Z digest=sha256:74b7ac55cbc1a5d71f8ece2c0888d628f62923e6da1d682a145dcf00ac2abf2d

Observation 9a13c562-fb69-43cd-9cdc-369e9b7d9d26 · outbound

This paper cites Particle filtering,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Particle filtering,

Reference 20

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no resolver link, observed 2026-08-15T22:01:16.864082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:16.864082Z digest=sha256:c4883f108ede960f318e7c040dcd72b897869e20eaa09be1e8f6c139806fea9c

Observation 1ca787e8-17be-411f-8e38-72cd0f720dab · outbound

This paper cites Efficient sparse pose adjustment for 2d mapping,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Efficient sparse pose adjustment for 2d mapping,

Reference 21

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raw_fallback, observed 2026-08-15T22:01:17.473106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.919388Z digest=sha256:7d2265c30fba1060593faabe96437de3cc39ae314d913b741085f4eaddb90ba2

Observation 0f5e317a-8cc3-440e-9bcd-e018cffc2ff0 · outbound

This paper cites Research on tightly coupled slam method based on lidar/imu,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Research on tightly coupled slam method based on lidar/imu,

Reference 22

Resolution
verified exact
doi, observed 2026-08-15T22:01:17.119962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.949357Z digest=sha256:147b573ee6a2819b460c1cc2b2f9567bf93e139c6789dbb8d8f1c61f781f0f40

Observation 45e8c2d8-ab5a-4d1f-ad9e-32057877ea0f · outbound

This paper cites F-loam: Fast lidar odometry and mapping,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM F-loam: Fast lidar odometry and mapping,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.460268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.980248Z digest=sha256:a990b01ddd18d44a1786d2719a29fb2617f2be4d49fcb661cb6d7fa5880e4ba7

Observation d31abca6-5f78-4724-8922-1bbe9a4c9da5 · outbound

This paper cites Ceres solver: Tutorial & reference,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Ceres solver: Tutorial & reference,

Reference 24

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unresolved
no resolver link, observed 2026-08-15T22:01:16.983668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:16.983668Z digest=sha256:5dc82b4b9a1400e30c6c41779a09e2596d2ca1910d78aed21f23daa0b4a38de6

Observation a217c6e6-d4ed-4a31-94d5-14a86047b3bf · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:16.987139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:16.987139Z digest=sha256:53f07b7a946098da0a00e5384893761615b87dd41d95494ee7d0f6c82b7067ae

Observation 296d58b8-2db8-4c63-9168-f02bff99a425 · outbound

This paper cites Lidar-cs dataset: Lidar point cloud dataset with cross-sensors for 3d object detection,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Lidar-cs dataset: Lidar point cloud dataset with cross-sensors for 3d object detection,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.431958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.990784Z digest=sha256:e74715c2f19da4a4293d5b526fb144d4eeb0c529db705597f327ab7cec0b07fb

Observation 3f9d8f17-f273-4d79-857b-069d13d3534d · outbound

This paper cites An indoor 2-d lidar slam and localization method based on artificial landmark assistance,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM An indoor 2-d lidar slam and localization method based on artificial landmark assistance,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.419764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.994112Z digest=sha256:00d07a39d98175c693b00b1e339f48f62322c34933e0897a49d699318b86e1b4

Observation 167c3244-2e39-474a-8e6a-dd687d4c894d · outbound

This paper cites An obstacle-finding approach for autonomous mobile robots using 2d lidar data,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM An obstacle-finding approach for autonomous mobile robots using 2d lidar data,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.407224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:16.997802Z digest=sha256:ef82f6fdafb4eb1c968f88fd0fe561c5bb6c197730176f7085f96026c2467898

Observation aac882f1-5a9a-410c-a99a-8c3bd951b87b · outbound

This paper cites Sensor fusion-based approach to eliminating moving objects for slam in dynamic environments,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Sensor fusion-based approach to eliminating moving objects for slam in dynamic environments,

Reference 29

Resolution
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raw_fallback, observed 2026-08-15T22:01:17.393638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.001166Z digest=sha256:9ec3acba2e3becffe8e59787737ebf5abb3d6c5a0e38f763e822767e8917fcbe

Observation 158cd519-84fb-4995-b090-0ec994d23fd1 · outbound

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

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.381132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.005783Z digest=sha256:dff736a5e1cccfdf972cc28905fdca376cef618d60f8f05130db04b5e7e74de2

Observation 877d3d15-de72-47be-84a3-8fdbbe929fb5 · outbound

This paper cites Real-time 3d object detection and slam fusion in a low-cost lidar test vehicle setup,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Real-time 3d object detection and slam fusion in a low-cost lidar test vehicle setup,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.367955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.009960Z digest=sha256:db977550544f8618ee50f5ade3fdb8aaf426cd9c1cbc8724b0ed124ba8a5555a

Observation 361b132b-f494-43d2-a097-4bcf35bf9e10 · outbound

This paper cites DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:01:17.150373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.014264Z digest=sha256:c451067b90ada4f69302efec8105d0bbe6453357faa4e4568f91ea01b535fdda

Observation a00704ac-29b0-4ce3-8538-3b2c49487ebb · outbound

This paper cites Wicrf: Weighted bimodal constrained lidar odometry and mapping with robust features,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Wicrf: Weighted bimodal constrained lidar odometry and mapping with robust features,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.355257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.018597Z digest=sha256:48ebfb621297aac099e3d7ecd0fe96f2a6fb94d124980c8c8dd4038418a66ee1

Observation fb13289a-08b6-4f14-bb1f-95cd880fc030 · outbound

This paper cites Nonparametric background model- based lidar slam in highly dynamic urban environments,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Nonparametric background model- based lidar slam in highly dynamic urban environments,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.329158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.028190Z digest=sha256:ec2790078d1c42acb568c39d20ec136368c0bcd076c48e6a0c6411c33f8876ed

Observation 62816b2e-f92b-4fc1-a2f7-90fa5ca33a92 · outbound

This paper cites Dynaslam ii: Tightly- coupled multi-object tracking and slam,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Dynaslam ii: Tightly- coupled multi-object tracking and slam,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.316563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.033111Z digest=sha256:9f6835147619383ae055d7b7ecd6c569cd876483eb9d3caa63a779e5402fb7a7

Observation ea61201f-bd40-44ff-92fd-1faa9aa5479a · outbound

This paper cites On the precision of 6 dof imu-lidar based localization in gnss-denied scenarios,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM On the precision of 6 dof imu-lidar based localization in gnss-denied scenarios,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.304387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.037203Z digest=sha256:d2eb1d0641c8d79c4b64fad9f9d32fe285846305c94ca4caacc43109def1c8e1

Observation e2937cc9-8ebd-4bae-a428-bf8b0b9a1a36 · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Vins-mono: A robust and versatile monocular visual-inertial state estimator,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.291638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.041403Z digest=sha256:c9c47b0ff4c764ef7f0a0ab461958a46296f322edce8cdacf5253497cc445cec

Observation b281c34e-8c87-4850-87d0-e6c646db9512 · outbound

This paper cites Lins: A lidar-inertial state estimator for robust and efficient navigation,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Lins: A lidar-inertial state estimator for robust and efficient navigation,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:17.045331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:17.045331Z digest=sha256:f32773c9915815e540cb41be1e9c4afb908d54487adc7e6b4cacfb7043c43f4a

Observation 71fc46bd-40a1-46e1-b456-a7c75ec336ac · outbound

This paper cites Tightly coupled 3d lidar inertial odometry and mapping,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Tightly coupled 3d lidar inertial odometry and mapping,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.271440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.049857Z digest=sha256:18df4e908db7831651844b1ec909776017a3d6f3b9c88a5f312d5ef8144cbbf7

Observation 999478ca-b595-442b-91c3-f883504fe66c · outbound

This paper cites A multisensor- based tightly coupled integrated navigation system,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM A multisensor- based tightly coupled integrated navigation system,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.258608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.053150Z digest=sha256:4a4f6febd75d3af715d5d3fbee26d161ef79765811238202304ea9ecb0de6822

Observation 0a91876c-25fb-4d7c-b7fc-d506fbb50fa7 · outbound

This paper cites An efficient orientation filter for inertial and inertial/magnetic sensor arrays,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM An efficient orientation filter for inertial and inertial/magnetic sensor arrays,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:17.056557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:17.056557Z digest=sha256:27c61b11b38bb5f81ecee84cef121a12133b31f099f7ad10d7fd7dcba8fc2f16

Observation 94056389-87d4-4c5d-8f6f-99ed85eb00ae · outbound

This paper cites Real-time loop closure in 2d lidar slam,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Real-time loop closure in 2d lidar slam,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.237769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.060507Z digest=sha256:5fc3d1c822cfc0860c8800619e9aa31f2f6a0d0c199bf0a96fdf3c59678ad804

Observation 3dea52f8-55e6-4c35-924c-608b19ab723a · outbound

This paper cites The iterative closest point registration algorithm based on the normal distribution transformation,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM The iterative closest point registration algorithm based on the normal distribution transformation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.222806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.064644Z digest=sha256:4a09b278ab0f3e98607ad1cb5421f3df2e139ea5d26e716222f2cd50ff3f4881

Observation d8da6279-7347-46b0-aabf-8ff0e257832d · outbound

This paper cites Attitude solving method based on fusion of madgwick and efk,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Attitude solving method based on fusion of madgwick and efk,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.210529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.068887Z digest=sha256:e4e61178690486854c8c66f53ca1321a5490164d31944fb942f1e9ba5c8e48d9

Observation b0a630f2-9c69-4587-a31b-e1a3f331a337 · outbound

This paper cites An efficient outlier removal method for scattered point cloud data,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM An efficient outlier removal method for scattered point cloud data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.197871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.073016Z digest=sha256:dd8de68b1dddc3a0524bb2fb5382796c026aaeec1081a24212cd97af2a226b7b

Observation c387e9b2-fff4-4723-84cb-7816948c6b91 · outbound

This paper cites 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.185047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.076702Z digest=sha256:3f43d7edb232396be6fb663c47576ba697dd8f3209c4e0dfadf567c4b2b4078b

Observation 90df49c1-7c59-4265-8301-e13ec3986125 · outbound

This paper cites A method for the solution of certain problems in least squares,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM A method for the solution of certain problems in least squares,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.171797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.080446Z digest=sha256:48f4c3a6a4d9ffebe1c97e14d6488e02a6e08357ee61418e0a78e679196b9de4

Observation 2ea42bb8-53cb-4118-9261-208b1ec6bf03 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns,.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Least-squares estimation of transformation parameters between two point patterns,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T22:01:17.084403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:01:17.084403Z digest=sha256:ff664d16758e8c87d85c8c7638f54c3a162150d9b20e422fb1a17a48f06c7e55

Observation 136ab34e-58f5-4710-b384-20dc788441e0 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 255335145.

MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM Available: https://api.semanticscholar.org/CorpusID: 255335145

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:01:17.342003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:01:17.023650Z digest=sha256:8ee6a06716f34a94c946eb5834e65ce6ab4690c97c83b5437fc7ddd177d870c3

Pith citing papers

No inbound Pith citation observations are available.