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Paper Citation Record · LEDGER

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot

As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.14873.

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

pith.paper-citation-record.v1
2411.14873 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:49:54.150278Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

17 of 17 outbound references displayed

  • verified exact6
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e46ebf3-7756-4492-a154-6d7cadd7e7b6 · outbound

This paper cites Autonomous Docking Method via Non-linear Model Predictive Control,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot Autonomous Docking Method via Non-linear Model Predictive Control,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:49:54.061659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:49:54.061659Z digest=sha256:eb1dcbf3c8ad3cc0a704062bd54b0ff641d13608d324bc3a0f62ec1496b12402

Observation 1a15f7a4-1319-4d8c-9eb9-6ab039c45664 · outbound

This paper cites ROS-based multi-sensor integrated localization system for cost- effective and accurate indoor navigation system,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot ROS-based multi-sensor integrated localization system for cost- effective and accurate indoor navigation system,

Reference 2

Resolution
malformed identifier
doi_truncated, observed 2026-08-12T14:49:54.323929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.067725Z digest=sha256:a194cb2c217716a333e1e1898fa0e5c9547ae02ce2b037aee1d8efa5fab89bd2

Observation 8b790ff1-8386-4b39-8e8f-534870195315 · outbound

This paper cites Map- Matching-Based Localization Using Camera and Low-Cost GPS For Lane-Level Accuracy,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot Map- Matching-Based Localization Using Camera and Low-Cost GPS For Lane-Level Accuracy,

Reference 3

Resolution
verified exact
doi, observed 2026-08-12T14:49:54.301336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.073410Z digest=sha256:3e0cac027a63eb7fe2838440ef3cbe9beba6d53b51ca4fde7d07f7c9ca82c179

Observation 5b4dbdf3-d4cc-4c8b-9655-d1c55d405689 · outbound

This paper cites An efficient approach for highway lane detection based on the Hough transform and Kalman filter,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot An efficient approach for highway lane detection based on the Hough transform and Kalman filter,

Reference 4

Resolution
verified exact
doi, observed 2026-08-12T14:49:54.276875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.079296Z digest=sha256:2dd0c3a53f041daa451a7160f9786fd459ced237d4c4891ef1091c2caf33230b

Observation fa3c90d7-8058-4850-97ec-6e7f9acb02ef · outbound

This paper cites Practical limitations of lane detection algorithm based on Hough transform in challenging scenarios,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot Practical limitations of lane detection algorithm based on Hough transform in challenging scenarios,

Reference 5

Resolution
verified exact
doi, observed 2026-08-12T14:49:54.255079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.084815Z digest=sha256:4f1c0277d02b05be0334c7d66c53fc5c279039dd87f9b50ac5acfa28719bd2ec

Observation 357ba39e-6211-4ffc-b0a0-cbe168b6e6e2 · outbound

This paper cites Towards End-to-End Lane Detection: An Instance Segmentation Approach,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot Towards End-to-End Lane Detection: An Instance Segmentation Approach,

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T14:49:54.574546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.090743Z digest=sha256:4b1382e3e810bfa75235a12a5cdd8e32dcb7a9dcda34aea7bf94ac15b0df6357

Observation df1a1585-1966-4c44-8159-6bac31e97d85 · outbound

This paper cites Spatial as Deep: Spatial CNN for Traffic Scene Understanding,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot Spatial as Deep: Spatial CNN for Traffic Scene Understanding,

Reference 7

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T14:49:54.482724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.097854Z digest=sha256:3e834cc70ec1449f6a96529d3014d9f7e20b342d1646aaf0ddcec78fc8e0ca38

Observation 4e775033-c3ca-415b-a098-2d7cd675fb54 · outbound

This paper cites RESA: Recurrent Feature-Shift Aggregator for Lane Detection,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot RESA: Recurrent Feature-Shift Aggregator for Lane Detection,

Reference 8

Resolution
verified exact
doi, observed 2026-08-12T14:49:54.234743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.102863Z digest=sha256:a562f6df482ee263670da8d3dd8069227921170ffe8a4215171f70a9f473ce73

Observation 5a392c90-e712-443c-8f9c-9973d95df01f · outbound

This paper cites CurveLane- NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot CurveLane- NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending,

Reference 9

Resolution
verified exact
doi, observed 2026-08-12T14:49:54.214037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.108015Z digest=sha256:70459d9e8b09d1abe24ca098f1ad87beb6dc5080d4278379d474846871444609

Observation fa3890f7-c329-4dc7-ae9a-26ab9834f064 · outbound

This paper cites Ultra Fast Structure-Aware Deep Lane Detection,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot Ultra Fast Structure-Aware Deep Lane Detection,

Reference 10

Resolution
verified exact
doi, observed 2026-08-12T14:49:54.192051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.113147Z digest=sha256:87d09c767583e44386ff7cfb4a2865a61bcb6a603e7183c3266fe1e0f935327f

Observation 81b3f46d-5b11-4e6c-91ee-788c08560ad0 · outbound

This paper cites GitHub - TuSimple/tusimple-benchmark: Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple- benchmark/issues/3.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot GitHub - TuSimple/tusimple-benchmark: Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple- benchmark/issues/3

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:49:54.762174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.118081Z digest=sha256:89470fbcf874c1afed432e1a201f74bb6219bbb80e98df59dea71fb93de677c9

Observation f0b4d3bb-c1ad-4fd9-addf-c7072863845a · outbound

This paper cites CULane Dataset.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot CULane Dataset

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:49:54.741500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.123543Z digest=sha256:05bd1237f68804e9c922cdbe1877af6c592d05d643d5bdd68a8b427a1bd2951b

Observation 9c49deae-6476-46ff-8eae-3c8fc93e3174 · outbound

This paper cites TensorRT Implementations of Model Quantization on Edge SoC,.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot TensorRT Implementations of Model Quantization on Edge SoC,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T14:49:54.129165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:49:54.129165Z digest=sha256:220790be88d95cee6f2af50381a9c3508fe509f245de16a2b5eec1e0c65a7a6a

Observation 5598b442-751a-41c5-a3a4-77cabd58f296 · outbound

This paper cites TensorRT SDK | NVIDIA Developer.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot TensorRT SDK | NVIDIA Developer

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:49:54.722424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.134233Z digest=sha256:881c5868a289c2ac2f0bf24f9d0405fe69728f030aed6906d51e12801011c623

Observation 8a92a901-2fa1-44fe-9039-8f09f90a6121 · outbound

This paper cites 6.000+ Video, Klip HD & 4K Jalan Raya & Jalan Gratis - Pixabay.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot 6.000+ Video, Klip HD & 4K Jalan Raya & Jalan Gratis - Pixabay

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:49:54.705094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.139648Z digest=sha256:a0d400a16e88a808437ef1f4aefc3c00afce2eb2c2c6fe040b9e7e83a12c98be

Observation 801aa91a-eaba-4197-a45a-dc7f5c8f0c1b · outbound

This paper cites GitHub - MaybeShewill-CV/lanenet-lane-detection: Unofficial implemention of lanenet model for real time lane detection.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot GitHub - MaybeShewill-CV/lanenet-lane-detection: Unofficial implemention of lanenet model for real time lane detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:49:54.688431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.145156Z digest=sha256:d360235b1c93898c9bd334db375f73d80eb49cf0ededf9362efa47a48d558b7e

Observation dfe977f3-2473-48dd-9a69-f4ecaec73feb · outbound

This paper cites GitHub - ibaiGorordo/onnx-Ultra-Fast-Lane-Detection-Inference: Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.

Implementation of Real-Time Lane Detection on Autonomous Mobile Robot GitHub - ibaiGorordo/onnx-Ultra-Fast-Lane-Detection-Inference: Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:49:54.668729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:49:54.150278Z digest=sha256:da23bf49aa602c00b42f6fe118ae3874de347cbc1f1b0a8714fc3f55017f55d1

Pith citing papers

No inbound Pith citation observations are available.