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Paper Citation Record · LEDGER

A Multimodal Vision Sensor for Autonomous Driving

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1908.05649.

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

pith.paper-citation-record.v1
1908.05649 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:10:21.546269Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved5
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e336944-589b-4288-b416-5956a87adf5b · outbound

This paper cites Super-sensor for 360-degree environment perception: Point cloud segmentation using image features,.

A Multimodal Vision Sensor for Autonomous Driving Super-sensor for 360-degree environment perception: Point cloud segmentation using image features,

Reference 1

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Source-reported events for the cited work

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Observation 2e806456-972d-44ff-a166-12e1b5a9cb56 · outbound

This paper cites Fusing semantic labeled camera images and 3d lidar data for the detection of urban curbs,.

A Multimodal Vision Sensor for Autonomous Driving Fusing semantic labeled camera images and 3d lidar data for the detection of urban curbs,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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Observation 799c2a37-4a70-484e-8668-8cfb6926a303 · outbound

This paper cites Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception,.

A Multimodal Vision Sensor for Autonomous Driving Can we pass beyond the field of view? panoramic annular semantic segmentation for real-world surrounding perception,

Reference 3

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Source-reported events for the cited work

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Observation 13aa14ef-f94c-4bbc-941e-164c22e642ad · outbound

This paper cites Unifying terrain awareness for the visually impaired through real-time semantic segmentation,.

A Multimodal Vision Sensor for Autonomous Driving Unifying terrain awareness for the visually impaired through real-time semantic segmentation,

Reference 4

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Observation 069eda93-e0da-4fe8-8bdd-4a0669bb0e20 · outbound

This paper cites Semantic perception of curbs beyond traversability for real-world navigation assistance systems,.

A Multimodal Vision Sensor for Autonomous Driving Semantic perception of curbs beyond traversability for real-world navigation assistance systems,

Reference 5

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Source-reported events for the cited work

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Observation eda29068-3ca7-45d0-b329-d2dabb4f8336 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

A Multimodal Vision Sensor for Autonomous Driving The cityscapes dataset for semantic urban scene understanding,

Reference 6

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Source-reported events for the cited work

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Observation bdda31bb-9ef5-4dea-abe3-a18a9f54cd8c · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes,.

A Multimodal Vision Sensor for Autonomous Driving The mapillary vistas dataset for semantic understanding of street scenes,

Reference 7

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Source-reported events for the cited work

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Observation d36c1cb8-4ea2-45bb-8e7a-3bf0207b8e75 · outbound

This paper cites 6d-vision: Fusion of stereo and motion for robust environment perception,.

A Multimodal Vision Sensor for Autonomous Driving 6d-vision: Fusion of stereo and motion for robust environment perception,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.953931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 809289d2-38fc-4978-810d-6152fcbb7410 · outbound

This paper cites Towards reliable multimodal sensing in aware environments,.

A Multimodal Vision Sensor for Autonomous Driving Towards reliable multimodal sensing in aware environments,

Reference 9

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 76924baa-e65f-4f69-a773-9d97c00d5ae3 · outbound

This paper cites 3d lidar + monocular camera: an inverse- depth induced fusion framework for urban road detection,.

A Multimodal Vision Sensor for Autonomous Driving 3d lidar + monocular camera: an inverse- depth induced fusion framework for urban road detection,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 729cd500-536d-4d3b-b32a-849d373e4762 · outbound

This paper cites Tracking people with networks of heterogeneous sensors,.

A Multimodal Vision Sensor for Autonomous Driving Tracking people with networks of heterogeneous sensors,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e45d9a6f-89e4-4e33-ac11-f1f08bcfd740 · outbound

This paper cites and Bradski, G., [ Learning OpenCV 3: computer vision in C++ with the OpenCV library ], ” O’Reilly Media, Inc.” (2016).

A Multimodal Vision Sensor for Autonomous Driving and Bradski, G., [ Learning OpenCV 3: computer vision in C++ with the OpenCV library ], ” O’Reilly Media, Inc.” (2016)

Reference 12

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 2e6e897e-ec31-4963-be53-985d5c031acc · outbound

This paper cites Computing rectifying homographies for stereo vision,.

A Multimodal Vision Sensor for Autonomous Driving Computing rectifying homographies for stereo vision,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e9855d87-f6b2-4294-8a48-d808c1f32d96 · outbound

This paper cites Pmf: A stereo correspondence algorithm using a disparity gradient limit,.

A Multimodal Vision Sensor for Autonomous Driving Pmf: A stereo correspondence algorithm using a disparity gradient limit,

Reference 14

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 628211f0-bca2-46c6-ae0a-184155935aa5 · outbound

This paper cites A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,.

A Multimodal Vision Sensor for Autonomous Driving A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,

Reference 15

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 4f44c9f1-cc9e-4ede-9898-8cb2ab4c1c04 · outbound

This paper cites Target enhanced 3d reconstruction based on polarization-coded structured light,.

A Multimodal Vision Sensor for Autonomous Driving Target enhanced 3d reconstruction based on polarization-coded structured light,

Reference 16

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 7974d889-f8bc-4b8b-b0ef-043455d6cb61 · outbound

This paper cites Light backscattering polarization patterns from turbid media: theory and experiment,.

A Multimodal Vision Sensor for Autonomous Driving Light backscattering polarization patterns from turbid media: theory and experiment,

Reference 17

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 09899d8b-0ce3-475f-b8bb-8d08acd51fcf · outbound

This paper cites H., [ Polarized light ], CRC press (2016).

A Multimodal Vision Sensor for Autonomous Driving H., [ Polarized light ], CRC press (2016)

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6156c0fd-462e-4c1d-9d1a-23a55cd847e3 · outbound

This paper cites Catadioptric omnidirectional camera,.

A Multimodal Vision Sensor for Autonomous Driving Catadioptric omnidirectional camera,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9055fae7-58d0-4c2d-ab89-25f7a11dd211 · outbound

This paper cites A toolbox for easily calibrating omnidirectional cameras,.

A Multimodal Vision Sensor for Autonomous Driving A toolbox for easily calibrating omnidirectional cameras,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 35a43a58-a753-43e6-80f5-c9ce4fa60f75 · outbound

This paper cites Perception framework of water hazards beyond traversability for real-world navigation assistance systems,.

A Multimodal Vision Sensor for Autonomous Driving Perception framework of water hazards beyond traversability for real-world navigation assistance systems,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c613941-0d50-4713-b3fd-7b32d31f91f4 · outbound

This paper cites Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors.

A Multimodal Vision Sensor for Autonomous Driving Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b1abb5ee-6140-4b03-9ee5-65f6a469f67f · outbound

This paper cites Bridging the day and night domain gap for semantic segmentation,.

A Multimodal Vision Sensor for Autonomous Driving Bridging the day and night domain gap for semantic segmentation,

Reference 23

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no resolver link, observed 2026-08-14T13:10:21.540456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7130ffa8-eba1-4498-adad-6ff6f184eff2 · outbound

This paper cites See clearer at night: Towards robust nighttime semantic segmentation through day-night image conversion,.

A Multimodal Vision Sensor for Autonomous Driving See clearer at night: Towards robust nighttime semantic segmentation through day-night image conversion,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-14T13:10:21.605755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.