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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 21 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 2026-08-21T06:32:19.484+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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.739296Z digest=sha256:02aec90ef915d9c96b6746a1418a2e0fef909f83710af14822bece206f7fe831

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.749013Z digest=sha256:d69b8f5828d8d589ccb048f804869a28b823830b5d3ac497b68016b104187cc7

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.753099Z digest=sha256:828113bc0195f3d0b07cb19028a8ad2c45ffab8ab383721cff6da0269809d340

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.757524Z digest=sha256:1b017b36316d8d21ccf1e562727e2b88acb6782227a1af3c813ec26196bc2e21

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.761518Z digest=sha256:da982d277a765f66af62cb2ad94cd74d820f2f0b47241d46c2780a796bd07fab

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.765961Z digest=sha256:9df7630d4ab7846124c1c6095d7cb234761f88a013ded75db9484c7f09a9902e

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.769926Z digest=sha256:60fcf8ba0d62a184bb29cdbab73779ab8b997d605cceaf53c119eb99d537b22f

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.773863Z digest=sha256:84bdd00e3a97e77384239ec79833b6a0d2c4f6fd1f47a782871762cb53f8da49

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.777727Z digest=sha256:858c02ec285a3d0face4992ed7e42c5313eb670d3a882ea62f2c4afde1b981d2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.783034Z digest=sha256:e66e6fdb1f3057e53e5aae6a9a6db9e4f2d718c18599614d1d43a97a448d1856

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.790635Z digest=sha256:6c8cc005fabf5206822105712816eccb6396d0c97f67d036f36a28fdbd68affd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.795216Z digest=sha256:97c836b60e2cc100b919bcc108273af3fb80eba905aff29ceb7fe3125d8df57a

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
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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.798866Z digest=sha256:b446f125c96837f9df5baa627ee1ad957bbcafab0b28491cfe438f6f7c7a299a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.806431Z digest=sha256:56f753ae202bbb93c84c7e0fa1a39e1db4a7d91d90325b8f9f1d7d80d6943890

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.810670Z digest=sha256:4b59f028ea0d34866ad1bfaf9886797201cdc8c7d0bcf707fed1e47636fc75d6

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

Resolution
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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verified fuzzy
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.919388Z digest=sha256:e5bc51778679ee347307c95e0cde69706bbd12c1c6ea16267fcac67f7cca95fa

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.949357Z digest=sha256:6216d09e6acea1f492684adea098627f85d06dd8386109a525e0c5c53e6f7cca

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.980248Z digest=sha256:0ee69af5f1779d0fc61b1cd3c565a85057d405c6856dd04ff818ec9316455cf5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.990784Z digest=sha256:86b6af156f8919bbf8b1a91d9f6031f938b7ef34021b4caa40d347e2fd6892ed

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.994112Z digest=sha256:195a878acae204a70f74f938900a3d9342403475ee5ce25dc520edeb04f2820c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:16.997802Z digest=sha256:a5c3358dd6ef821a2cb67a9657b946f3ba15a2f3790016ce51f2c703b2a93ee0

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
verified fuzzy
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.001166Z digest=sha256:f764d71cd6314b5484f2236924c6cee8e87940574697f918c731994297bdf951

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.005783Z digest=sha256:4ae5ac3ae936b7d44f48788a14a31b2435e2285074a06cb22e3e56326050ea71

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.009960Z digest=sha256:8196d529cd3a4117c2922edb3a9b0b3669e162ac5630fc4c064332543eafc334

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.014264Z digest=sha256:528f00b863eb6b15e5dcba8195afcf40c9cf05097e2576e7010d95636930b5cb

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.041403Z digest=sha256:a619f05d68ab461f179e218d71123bdb47ae9cffa0f3144efe9ef65cf36db657

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.049857Z digest=sha256:56ee9dda2c225e56bbd7a285e27c0e6973c8e91274c243db8c8c76cb8ab68636

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.053150Z digest=sha256:7e589a4ea9addfd6cc702d6e629a0b9acb2182c0ff7cf25c3d3727e79694798f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.060507Z digest=sha256:496bca25f0cacb65ae6bbf3d394ea0cea1314990b61bd3b16805b52d0989b8c8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.064644Z digest=sha256:34527fb0c630213af9c9376171395bea94a51a5b9b5880943923f1c0b2709434

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.068887Z digest=sha256:7c7bfbd0834442e14ea5953f368e5983bce629c803db2691657490d59cdb50bb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.073016Z digest=sha256:b6e0ade34c6a48d8fef40dc4b55b84aef74e832427909210abdaf26829553d3d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.076702Z digest=sha256:c0d6feeb3cf3dfb05fbf483f8b9213a26c69a35aa1726a9b5f6317903505527e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T22:01:17.080446Z digest=sha256:0b96d66bf521959c8829f9eced4a31066948e9d2ddab9ee49ffaf396de53a8ae

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 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.