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Paper Citation Record · LEDGER

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.23327.

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

pith.paper-citation-record.v1
2605.23327 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:14:35.535809Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

43 of 43 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f33d5ce-b004-41f4-b96e-d822255f3fa5 · outbound

This paper cites Comprehensive review of traffic modeling: towards autonomous vehicles.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Comprehensive review of traffic modeling: towards autonomous vehicles

Reference 1

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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 2026-08-06T06:34:29.942622+00:00.

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Observation b3954404-93cd-4800-911e-79966bc19dc5 · outbound

This paper cites Deep learning-based lane detection for intelligent driving: A comprehensive survey of methods, datasets, challenges and outlooks.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Deep learning-based lane detection for intelligent driving: A comprehensive survey of methods, datasets, challenges and outlooks

Reference 2

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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 2026-08-06T06:34:29.942622+00:00.

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Observation bee1f9f0-8667-4be8-ab82-40b7a2260c62 · outbound

This paper cites Robust lane-mark extraction for autonomous driving under complex real conditions.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Robust lane-mark extraction for autonomous driving under complex real conditions

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 2026-08-06T06:34:29.942622+00:00.

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Observation 2a68e44b-fd8c-45ea-82a2-b383da9cdda3 · outbound

This paper cites Real time detection of lane markers in urban streets.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Real time detection of lane markers in urban streets

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.326696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:82dec9a679496f5105c3d16d5eab6d5d3c2d394b161ca5d43bc7f75052aa489e

Observation b6f19839-1ca1-46c8-8a46-dfb6b6e29822 · outbound

This paper cites Lane detection and tracking using b-snake.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Lane detection and tracking using b-snake

Reference 5

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.339334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6a6959d5-a9f2-471f-b9c3-84f4fae51f07 · outbound

This paper cites Hierarchical additive hough transform for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Hierarchical additive hough transform for lane detection

Reference 6

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.337482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:6935d0a6bac1e644ca26edc589179a4b83e72d6ab6359d1a6ed6ec75e6dfa1be

Observation b2df6930-2695-426d-b4a7-257e4c05577c · outbound

This paper cites Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion

Reference 7

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.324702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:1f44e7d9e3947b8e2241026f48036948fea1d8298c48fe4566372ad5f686b092

Observation e2719980-ac5f-4dcb-8ba4-96ba79c8bf0a · outbound

This paper cites Lane detection for autonomous driving: Comprehensive reviews, current challenges, and future predictions.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Lane detection for autonomous driving: Comprehensive reviews, current challenges, and future predictions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.351387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ea56d1f1674771678e992792b272b0e6b4533ec01f68ab930a5f9d11f9740e0c

Observation 9736c49e-badd-432a-b9d4-0ba149505782 · outbound

This paper cites Towards end-to-end lane detection: an instance segmenta- tion approach.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Towards end-to-end lane detection: an instance segmenta- tion approach

Reference 9

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.343169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:129d17dd0cbf9d3e624b696056ef3d45ad82a9da52e436361c5e944e9e2733d7

Observation 1a353537-c09e-4974-ab76-b68901cb8eff · outbound

This paper cites Spatial as deep: Spatial cnn for traffic scene understanding.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Spatial as deep: Spatial cnn for traffic scene understanding

Reference 10

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raw_fallback, observed 2026-07-08T14:04:58.341290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6e8ef9f9-0b85-49c1-8000-cd78ec09d3da · outbound

This paper cites Learning lightweight lane detection cnns by self attention distillation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Learning lightweight lane detection cnns by self attention distillation

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.345310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:a3f4f20757f2af4ee95fce209d911a64a4ed409e69d9b28d14dce02a809ad564

Observation 654bf82d-bd09-4acf-b0eb-1597d951db74 · outbound

This paper cites Resa: Recurrent feature-shift aggregator for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Resa: Recurrent feature-shift aggregator for lane detection

Reference 12

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raw_fallback, observed 2026-07-08T14:04:58.349595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:f92d90cfee041afea9372061b557bb9d49f641e637686fc6ac2594ef4e7b98b4

Observation 9d58a958-123b-4b4a-845f-da6545737348 · outbound

This paper cites Polylanenet: Lane estimation via deep polynomial regression.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Polylanenet: Lane estimation via deep polynomial regression

Reference 13

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.308561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:37c8d6d6fd0455c65dcfca461b18c0d6c55c739fa0b9202310b9c3ebe4be3a07

Observation 21ffe624-e094-43c2-82fd-27f0d2b53533 · outbound

This paper cites End-to-end lane shape prediction with transformers.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection End-to-end lane shape prediction with transformers

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.326260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:d8bfb4cc7d97d5ffc0e43b9493cf88a126c455f3e3e7be2131a7cdcb69e5ce3a

Observation 5e712ba4-5cf9-4196-8195-b7e0960947ae · outbound

This paper cites Rethinking efficient lane detection via curve modeling.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Rethinking efficient lane detection via curve modeling

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.328177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:fb921404be34b69969c33abd33de902ef59e4522d922e23ef370393c8b9f85e2

Observation 5e5ffe66-9380-4171-a392-3d0c65a03dd3 · outbound

This paper cites BSNet: Lane Detection via Draw B-spline Curves Nearby.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection BSNet: Lane Detection via Draw B-spline Curves Nearby

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:52.899059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:bd5eb2408831d4877b4974eaf763d708d566238c81ffa4a1bef286714fc35cb3

Observation fbda4082-b57a-47ba-bc3d-cd30454b5907 · outbound

This paper cites Ultra fast structure-aware deep lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Ultra fast structure-aware deep lane detection

Reference 17

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.316109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:0617da584ed49d73ee59a83861305d8c6d75f136346596f9a36277024afa6c46

Observation 7b6eaa3d-8e0b-4daa-9407-e5649be389bc · outbound

This paper cites Condlanenet: a top-to-down lane detection framework based on conditional convolution.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Condlanenet: a top-to-down lane detection framework based on conditional convolution

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.322104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:33d687d1ffb6c6c877ab9980759cbd14e41855b21215a96580aa95aef1a45399

Observation d58a6d68-7134-4eee-ba14-ba911d9c6ca2 · outbound

This paper cites Ultra fast deep lane detection with hybrid anchor driven ordinal classification.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Ultra fast deep lane detection with hybrid anchor driven ordinal classification

Reference 19

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.295608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:8d2f5f485abdeb670805b9b35e4bb9374a124ed52c35676b53aba023a4bf5f20

Observation 1c008334-2757-4ae4-87db-87689a8fee09 · outbound

This paper cites Line-cnn: End-to-end traffic line detection with line proposal unit.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Line-cnn: End-to-end traffic line detection with line proposal unit

Reference 20

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raw_fallback, observed 2026-07-08T14:04:58.320034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:a15e1a4441dbc40b9d3089e7587722d6a39c8443adf4ea158a11d5f64132cee5

Observation 715fe135-5a29-4bba-8383-ebb4ab7ff756 · outbound

This paper cites Keep your eyes on the lane: Real-time attention- guided lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Keep your eyes on the lane: Real-time attention- guided lane detection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.324337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:0705214915aa0f27d455dbb1a93241aef149d952c967ba1f922a963caf89ebec

Observation e9e3db8c-e665-468c-950b-b176cf427dfe · outbound

This paper cites Clrnet: Cross layer refinement network for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Clrnet: Cross layer refinement network for lane detection

Reference 22

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.330884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ae24ed032843b98474bb3923ad9b3b17349dee81dc29098403a1db9c00718486

Observation cdfc5be5-cb50-4982-a1c3-1768a65ae6c0 · outbound

This paper cites Clrernet: improving confidence of lane detection with laneiou.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Clrernet: improving confidence of lane detection with laneiou

Reference 23

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.354391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:154d45d0bdcece33dce2c78737a2d3ed8c70d5221cf6ead8fadfea1846e379e6

Observation 10d69198-7a15-4cea-9a99-776448ab00d6 · outbound

This paper cites Ldtr: Transformer-based lane detection with anchor-chain representation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Ldtr: Transformer-based lane detection with anchor-chain representation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.298566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:fdf40e56bb5f8be307e43eb80e1365a03930830cd1e6736ce3bd4205b4a2b632

Observation 993c514d-aac8-4009-9e11-d48f864dd301 · outbound

This paper cites Pointlanenet: Efficient end-to-end cnns for accurate real-time lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Pointlanenet: Efficient end-to-end cnns for accurate real-time lane detection

Reference 25

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.308250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:9ad5811871a4dbe211861429083eee7cd1a4b6d575c4dbb1cbe5a6563571994b

Observation b0a0f692-a132-44a0-95f6-f28a2258a601 · outbound

This paper cites Focus on local: Detecting lane marker from bottom up via key point.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Focus on local: Detecting lane marker from bottom up via key point

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.312699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:711e3c7e9c481773d022bf9367a8d8f74453fb54972ac7cb0fd2ea1dff6665e8

Observation e51c60b5-98b5-420a-b6fa-d3371888a73f · outbound

This paper cites A keypoint-based global association network for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection A keypoint-based global association network for lane detection

Reference 27

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.339764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:d0a0c227cc20ee6971513de3cb94e3c076a0e87d0189174c4a9928eb6a0f5d30

Observation 0977845c-b5f7-46f8-b4d9-4bc349371fd5 · outbound

This paper cites Monocular Lane Detection Based on Deep Learning: A Survey.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Monocular Lane Detection Based on Deep Learning: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:52.896185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:8401f54e19d72cd2ae9354d26f262a6b2fcbed76765e5e9a1036350dd4e992ca

Observation 616ecd4f-34ae-4b40-8ff7-fd1c50c7df68 · outbound

This paper cites Asymmetric strip transformer with position vectors embedding for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Asymmetric strip transformer with position vectors embedding for lane detection

Reference 29

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.335862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:09d6cc550eb09a3e5068339ddc70dfe9ff9991d8ccfa4202e0f3860f5edbd15f

Observation b75d2267-ed82-479c-bc9c-d2abd1603aea · outbound

This paper cites End-to-end lane marker detection via row-wise classification.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection End-to-end lane marker detection via row-wise classification

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.297604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:ce768f482626dab553fd8ff2169510b2ffb72076e6b8b2ec57e277023748be69

Observation 8ffa9fdc-b5d0-4891-ac76-0555388f4927 · outbound

This paper cites Feature pyramid networks for object detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Feature pyramid networks for object detection

Reference 31

Resolution
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raw_fallback, observed 2026-07-08T14:04:58.349933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:aff9ac5603205e7518def7b939af65be85f8dc15857e373ee2ce0558c17749f2

Observation c19558d5-59dd-4e26-9e8a-55453ece145b · outbound

This paper cites A comprehensive review on yolo versions for object detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection A comprehensive review on yolo versions for object detection

Reference 32

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verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.320473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:dc96dd220c3df1b0125496eae1a179d0f2998d8ff5aed90fee26bdc884201b73

Observation ae940fc5-89cd-4a49-84db-42448cee98c7 · outbound

This paper cites an unresolved cited work.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-07-08T14:04:58.315438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:6018336ba12963f97f2016067890a55d47835d1ede77699ce9bf667e18fe8986

Observation c32a6e95-4648-4bcd-a3eb-6e6bb2bd5128 · outbound

This paper cites Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.333090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:4d6b459b72d8ca1f143a43a75b4c3bceec70f022d7539630426c15cc8dfb4e16

Observation 2ea2657a-344d-4dfb-8513-cc4dfdf6509b · outbound

This paper cites Clrkdnet: Speeding up lane detection with knowledge distillation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Clrkdnet: Speeding up lane detection with knowledge distillation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.347695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:d429113fd58c117350b075480f084885c943dd21ff4b7d157b95f1f5f069ee6a

Observation bab6e95c-b8fd-4169-9a2c-28214e717bfc · outbound

This paper cites Generating dynamic kernels via transformers for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Generating dynamic kernels via transformers for lane detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.355424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:8acd9c132839060968fcee421be98f917876edc7ffc60567be64e53be895b0fa

Observation 84d0cc94-e589-4ddc-bbad-507c953374c0 · outbound

This paper cites A siamese transformer with hierarchical refinement for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection A siamese transformer with hierarchical refinement for lane detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.290192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:6b38e32143d5a821e550a54aabe31678b512a58c7a319ec4d0eea9d0a9488d78

Observation b13c4c60-dbd2-4616-b9d2-fd1721877256 · outbound

This paper cites Dlnet: Direction-aware feature integration for robust lane detection in complex environments.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Dlnet: Direction-aware feature integration for robust lane detection in complex environments

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.341606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:d23a473376108eca6ff3fbed88c1d34795058b7132b0fa6108fad35b962806bf

Observation 8b8f657a-4b03-418c-b407-2b2b90aad4de · outbound

This paper cites Unsupervised labeled lane markers using maps.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Unsupervised labeled lane markers using maps

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.306674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:4e0317c9e5372a25853051e4ed4d472cf00630b4fb6ef460f07564507aab0fce

Observation 607b88e7-55f9-41a4-82a6-79b413ac50be · outbound

This paper cites Deep residual learning for image recognition.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Deep residual learning for image recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.337770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:4c55358fd9b03034be400833100c91c33f66d4042264ed6c853fa917dfb64847

Observation e129e670-196d-41ed-ba2b-94e3cf3252d6 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Repvit: Revisiting mobile cnn from vit perspective

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.353252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:b432fae1c446f381638ae2d1308416c5b0e2de2eadf7e66f14cee6e0d6fcb4c6

Observation a49fedc3-ec5e-475f-a5cd-66160f2568f9 · outbound

This paper cites Deep layer aggregation.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection Deep layer aggregation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.359853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:bbd717158289ae6396b9e0eb7332438fa057a4143d86d59adb7b1460dd46cc9e

Observation 4efe45d1-9d7d-4ffc-b1cb-d157245e24c3 · outbound

This paper cites CANet: Curved guide line network with adaptive decoder for lane detection.

GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection CANet: Curved guide line network with adaptive decoder for lane detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T14:04:58.357659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T16:14:35.535809Z digest=sha256:43e6916a58f478099ef1e2ea8e8450067521b3f0c942898bdb7a23813b438dab

Pith citing papers

No inbound Pith citation observations are available.