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Paper Citation Record · LEDGER

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2411.14358.

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

pith.paper-citation-record.v1
2411.14358 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:19:20.253186Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:36:21.529319Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:36:21.908352Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy32
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 565b096c-eb8c-415e-91ec-2803deb395ca · outbound

This paper cites Simultaneous localization and mapping: part I.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Simultaneous localization and mapping: part I

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.672420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3f3ec513-e742-4f81-b975-45c5d07ca1f3 · outbound

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

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.662431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 66eea78d-de7c-4f5c-9333-8bb39a76bf42 · outbound

This paper cites Deep Visual Odometry with Events and Frames.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Deep Visual Odometry with Events and Frames

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.140708Z digest=sha256:22c0a850e6f42f81c0938b334b14b9c10cc8c6e0c5ba1dcc21de726bdc79db70

Observation ec15c3a5-c4b1-4a49-8881-966f1cce7256 · outbound

This paper cites Simultaneous localization and mapping: A survey of current trends in autonomous driving.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Simultaneous localization and mapping: A survey of current trends in autonomous driving

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.642538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.144107Z digest=sha256:8ad9d49767251c48ff4fde782a5fdf49a4b68ed8106244f419a6d367757471e0

Observation e530802c-7d8c-4909-b588-94c36302eb87 · outbound

This paper cites Autonomous drone racing: A survey.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Autonomous drone racing: A survey

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.631519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.147136Z digest=sha256:cb793d0e0d7800e360ba0672215618f11493e3ccf74757bf4dfadf10aec5326e

Observation 36c3fd41-fdae-41cb-8d77-b00cf30ce0c4 · outbound

This paper cites Structure-Invariant Range-Visual-Inertial Odometry.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Structure-Invariant Range-Visual-Inertial Odometry

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:19:20.353137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.150413Z digest=sha256:1af2ac943a71e7c8e41ddcd6939748f2256314bb648e1e802f3a1ab9ac0c4939

Observation f21883a2-5dfa-461c-9f45-3b41cba9ee83 · outbound

This paper cites Project Aria: A New Tool for Egocentric Multi-Modal AI Research.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Project Aria: A New Tool for Egocentric Multi-Modal AI Research

Reference 7

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unresolved
no resolver link, observed 2026-08-12T15:19:20.153791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:20.153791Z digest=sha256:b9ddadcb7dbb2ee2892bc4f58dbeccffc8bc478b50735d45e7b8941f71b69e6d

Observation 54fc57e6-7dc6-428b-b7fa-080677ff988a · outbound

This paper cites Hilti-oxford dataset: A millimeter- accurate benchmark for simultaneous localization and mapping.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Hilti-oxford dataset: A millimeter- accurate benchmark for simultaneous localization and mapping

Reference 8

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raw_fallback, observed 2026-08-12T15:19:20.622176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.156939Z digest=sha256:b197f56d78feffb5b7ea7a4a8d3109bfa622d01fa1cce8f64a3e93b0c362eb21

Observation 75d7128c-d913-4ff5-b3fe-e6cc174c46bf · outbound

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

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 9

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raw_fallback, observed 2026-08-12T15:19:20.613424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.160600Z digest=sha256:3032bf24d745dfe3d3bebd053910e30ca206a96cfd999577f812d5c7e7de717c

Observation 55e77b6c-7053-482d-9ce4-328480ca36c3 · outbound

This paper cites The EuRoC micro aerial vehicle datasets.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation The EuRoC micro aerial vehicle datasets

Reference 10

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raw_fallback, observed 2026-08-12T15:19:20.604851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.163662Z digest=sha256:3d8b85bf9b5f545c76f8fd3717143dbf77094da7cb65a7f8d4551c67a3d60d3e

Observation 0e2172a0-878f-48e3-944e-6f30277bd4ef · outbound

This paper cites Penncosyvio: A challenging visual inertial odometry benchmark.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Penncosyvio: A challenging visual inertial odometry benchmark

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.166567Z digest=sha256:9bf4456a69c789d63f71fe22e93a2fe6246a0693289d470cb142dd48895a2780

Observation 4e04ca04-3b34-4307-8a69-cc8b8fc37e15 · outbound

This paper cites The Zurich urban micro aerial vehicle dataset.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation The Zurich urban micro aerial vehicle dataset

Reference 12

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raw_fallback, observed 2026-08-12T15:19:20.586005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.170004Z digest=sha256:4f38e49931a49c468812ddf7862ecf2f022be52c4a090601a6c7715aa83ba2e8

Observation c1d45a60-e0be-4f82-b7dd-5d0cb11ef322 · outbound

This paper cites InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Reference 13

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no resolver link, observed 2026-08-12T15:19:20.173316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:20.173316Z digest=sha256:dfcd7cfbf6675686fe6add6b7473a20ab9ec0ced2272ea6694f3e9c703987ced

Observation 370c0db5-4f05-428c-ab33-0058bd564c60 · outbound

This paper cites The TUM VI benchmark for evaluating visual-inertial odometry.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation The TUM VI benchmark for evaluating visual-inertial odometry

Reference 14

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raw_fallback, observed 2026-08-12T15:19:20.576718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.176455Z digest=sha256:dcdf32612bec1e79da0f92a0657555474f8e80ceadd7aaa119f2a73b7ea21b44

Observation 192165d2-e553-4be4-9e27-ddbb4ef6a836 · outbound

This paper cites Are we ready for autonomous drone racing? the UZH-FPV drone racing dataset.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Are we ready for autonomous drone racing? the UZH-FPV drone racing dataset

Reference 15

Resolution
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raw_fallback, observed 2026-08-12T15:19:20.566782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.179687Z digest=sha256:bb6d0101222be981eebb4c3e910445a50fa73c5e3b0396c818ac018393932bf2

Observation 12d5d2ba-7d3f-40e4-84e4-41db4332e1f3 · outbound

This paper cites The newer college dataset: Handheld lidar, inertial and vision with ground truth.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation The newer college dataset: Handheld lidar, inertial and vision with ground truth

Reference 16

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raw_fallback, observed 2026-08-12T15:19:20.557364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.182669Z digest=sha256:56e959305baabc88f86ae8da0f71dbcf2346ac935188265750f077354a395b27

Observation 29d3f8f8-b004-43de-b77c-84463ac1377c · outbound

This paper cites Viode: A simulated dataset to address the challenges of visual-inertial odometry in dynamic environments.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Viode: A simulated dataset to address the challenges of visual-inertial odometry in dynamic environments

Reference 17

Resolution
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raw_fallback, observed 2026-08-12T15:19:20.548185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.185547Z digest=sha256:92da45aea4e427d7c14f55edb319f60c8dbfd11eaa7abafda9a91bd46c7896ac

Observation 97372a52-5a41-4eaf-ad6c-d9b1fd166eaf · outbound

This paper cites Large-scale localization datasets in crowded indoor spaces.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Large-scale localization datasets in crowded indoor spaces

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.538782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.188218Z digest=sha256:3065bef64889a93918ba8139567deb5b70a47f5ee9f1e1d1482e03d124b871b4

Observation 829a7252-57b5-4b3f-a202-eab9ee00b3d3 · outbound

This paper cites Self-Improving SLAM in Dynamic Environments: Learning When to Mask.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Self-Improving SLAM in Dynamic Environments: Learning When to Mask

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:19:20.319002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.190990Z digest=sha256:5fbee15f3801aa5945c44668933562200e8be03debcaf3f2d1ebe136e1dddc2c

Observation bdf81437-8f6f-46c1-8521-553aea9d5468 · outbound

This paper cites CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.528473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.194422Z digest=sha256:880ceb456b989b7f3c63a3fe9a2bfae20374a51f755f7a8da5754b4a81ac7e57

Observation 1205557a-7564-4400-bec7-76b759a1fa80 · outbound

This paper cites A dataset for human localization and mapping with wearable sensors.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation A dataset for human localization and mapping with wearable sensors

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.519386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.196722Z digest=sha256:79cf53f1446c744741440f82cec28b71ad4504ecfe60675e8aff77c073f41da4

Observation 27d4f05d-c91e-4aec-9260-1e2041a9b6f2 · outbound

This paper cites ADVIO: An authentic dataset for visual-inertial odometry.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation ADVIO: An authentic dataset for visual-inertial odometry

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.509263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.199123Z digest=sha256:c4f68d6b421ae86b35c88e79228335e6832bbfbff381bf961e386be91065d7e1

Observation 30b5d9d1-5c4a-4a67-aa92-53f46b597bef · outbound

This paper cites Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD).

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.499657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.201649Z digest=sha256:e5372d211e15ab26109d76177739a7795a3b7962797a1e2ebefcb04dff13a814

Observation 03a958e5-fbc0-4ebc-b730-50d6a4f45739 · outbound

This paper cites Simultaneous Localization and Mapping Related Datasets: A Comprehensive Survey.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Simultaneous Localization and Mapping Related Datasets: A Comprehensive Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T15:19:20.204648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:20.204648Z digest=sha256:11ce9db1ce4a8f275ad53f9b2aa0e0d67c8899338db5e0ac54237536cc200442

Observation e19d635d-ea07-42dc-8ff7-c36f0d8c0dd6 · outbound

This paper cites How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T15:19:20.208182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:20.208182Z digest=sha256:f6b09af27218cbd4284252c4f7e8f6e11acdddc53592432ae7fafee5173ed644

Observation 954faab0-6955-4beb-a770-cffabeafb5a9 · outbound

This paper cites Project Aria Hardware Specifications: https://facebookresearch.github.io/projectaria_tools/docs/tech_spec/ hardware_spec, 2024.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Project Aria Hardware Specifications: https://facebookresearch.github.io/projectaria_tools/docs/tech_spec/ hardware_spec, 2024

Reference 26

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raw_fallback, observed 2026-08-12T15:19:20.490002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.211979Z digest=sha256:1653c04a7077312878ab7d1951f7cf8ae2d983f895643c91b17bbff5b3c73761

Observation 973c31f6-9840-4de0-bc88-a9cb4f82938f · outbound

This paper cites Camera Intrinsic Models for Project Aria devices: https://facebookresearch.github.io/projectaria_tools/docs/ tech_insights/camera_intrinsic_models.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Camera Intrinsic Models for Project Aria devices: https://facebookresearch.github.io/projectaria_tools/docs/ tech_insights/camera_intrinsic_models

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.479952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.214507Z digest=sha256:86d784b7c0af9a7714204cb6bee277a9eb19e2bac58175e6db156245f884d89c

Observation 3d2313c8-3877-4549-8273-f5106b923bfc · outbound

This paper cites Camera Intrinsic Models for Project Aria devices: https://facebookresearch.github.io/projectaria_tools/docs/ tech_insights/sensor_measurement_model.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Camera Intrinsic Models for Project Aria devices: https://facebookresearch.github.io/projectaria_tools/docs/ tech_insights/sensor_measurement_model

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.470337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.217772Z digest=sha256:b468dd8f06c5365662c52aaa1edaf11aa8e01a6b51a9b7f8f2afbdbbbf46526f

Observation a8cde73a-d7b0-4744-a2c7-b0c7c944dfef · outbound

This paper cites an unresolved cited work.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-12T15:19:20.460091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.220644Z digest=sha256:c185bde2b7e462e4f240e12fcd96fd6ddfbe272b95057530502d4cb4b64457a3

Observation 5f172c50-05d2-4d13-a6cb-b321ac322972 · outbound

This paper cites Bad slam: Bundle adjusted direct rgb-d slam.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Bad slam: Bundle adjusted direct rgb-d slam

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.451737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.223224Z digest=sha256:c83a7d44131f3f0df3dd0124db121299e2ecd43805b06a1555264730e8f6fa95

Observation 600fc25e-44f3-466e-939a-136cc7727780 · outbound

This paper cites Walking biomechanics and energetics of individuals with a visual impairment: a preliminary report.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Walking biomechanics and energetics of individuals with a visual impairment: a preliminary report

Reference 31

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raw_fallback, observed 2026-08-12T15:19:20.442036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.225820Z digest=sha256:6e70dd9c38f9b0aca33175a19f7a306df4e72facb46fde87fecb46f023d1011e

Observation c2cd9cc9-4a1a-46fb-b4f7-d50a3517b99a · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.432359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.228908Z digest=sha256:1f4e2d451a44f2be798665a90202fabf1a684a6cc0f5a43a09c3e026d230082e

Observation da2e1beb-50c9-4a1d-a4ba-5f34ce017fc5 · outbound

This paper cites Deep Patch Visual SLAM.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Deep Patch Visual SLAM

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T15:19:20.231714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:20.231714Z digest=sha256:f4e0fb7a406388de2cfa4313f29dcea470c08caaa046f6f44d3df077cb3e2ae8

Observation 2ded1d18-2c06-414a-9817-663a3897cab5 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.423053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.234469Z digest=sha256:abf4746786a6b990641469dfc0db6ce1410152d0ed07b76e8050eabff60bf5eb

Observation a41df634-6f77-46d2-8f1b-2cbcaeff2c6c · outbound

This paper cites SVO: Semidirect visual odometry for monocular and multicamera systems.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation SVO: Semidirect visual odometry for monocular and multicamera systems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.413926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.237026Z digest=sha256:1c3bae71154629e75d4bb9ca9b24a3be6856c5f45b4a2ab3d4e1d2274b888a18

Observation 2d1b77dc-3d4d-4b94-b7f5-d842b790c80c · outbound

This paper cites Deep patch visual odometry.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Deep patch visual odometry

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.402638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.239831Z digest=sha256:d6bf324a38dc99c4f0ccad9622451f18014f835c9b551c70f6b3d8586823e48f

Observation 7d6c0084-5f0f-46ee-9a22-dd42b34b10ba · outbound

This paper cites A benchmark for the evaluation of RGB-D SLAM systems.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation A benchmark for the evaluation of RGB-D SLAM systems

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.392291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.243002Z digest=sha256:ae18d221775e549fb23dfec0ea34d2e729d3201e6010373d1f7a157dcfba55df

Observation 7f39122d-4aeb-4989-9a90-206c9b7f4f07 · outbound

This paper cites Useful tools for the RGB-D benchmark.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation Useful tools for the RGB-D benchmark

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.382891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.246907Z digest=sha256:f1bdb26a725c12ef390870655b7fa017e2458953783da7224ab0c427e88ccde0

Observation 1dc9c632-93d1-466e-8833-8dbc102aa6ff · outbound

This paper cites A tutorial on quantitative trajectory evaluation for visual (-inertial) odometry.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation A tutorial on quantitative trajectory evaluation for visual (-inertial) odometry

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.372551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.250100Z digest=sha256:262c41637452c8a73cf425307afd517629fa802ed1d20ab4da8d22cbada3789a

Observation dbb85836-37cf-4ed6-81b9-5f35b56d0e4a · outbound

This paper cites evo: Python package for the evaluation of odometry and SLAM.

InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation evo: Python package for the evaluation of odometry and SLAM

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:19:20.362824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:19:20.253186Z digest=sha256:ee36d6fa5831deb75f84e8077a8a4d189e66659857ec04d6eda5a0876b852708

Pith citing papers

Observation 26135f2b-6747-4676-aa42-b7f0a0a0595a · inbound

EgoCHARM: Resource-Efficient Hierarchical Activity Recognition using an Egocentric IMU Sensor cites this paper.

EgoCHARM: Resource-Efficient Hierarchical Activity Recognition using an Egocentric IMU Sensor InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:36:21.914493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:36:21.529319Z digest=sha256:3bf56da51439a01076b07908bd5b3ab065b1f173ddc7aaba01b66f44bfa8d620