Paper Citation Record · LEDGER

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2502.04566.

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

pith.paper-citation-record.v1
2502.04566 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:21:36.395963Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba9d7acc-338e-42dc-b6a7-b646b0a34680 · outbound

This paper cites Data- driven intelligent transportation systems: A survey,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Data- driven intelligent transportation systems: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.071543Z

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Observation cd157e8c-9a45-491a-9e87-5f94153c6edd · outbound

This paper cites Traffic accident prediction using 3-d model-based vehicle tracking,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Traffic accident prediction using 3-d model-based vehicle tracking,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.060224Z

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

Observation b2c107cc-6376-427d-9b49-fb94bed1b239 · outbound

This paper cites Vision-based active safety system for automatic stopping,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Vision-based active safety system for automatic stopping,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.049580Z

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Observation de4817e2-20fb-480a-bf10-68b2c563e373 · outbound

This paper cites Vehicle ego-motion estimation and moving object detection using a monocular camera,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Vehicle ego-motion estimation and moving object detection using a monocular camera,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.039159Z

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Observation a2f450f3-20ff-4374-bafb-480d457228cb · outbound

This paper cites Vehicle detection and tracking techniques: A concise review.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Vehicle detection and tracking techniques: A concise review

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.029835Z

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

Observation 739a7ee6-8d57-4bba-87a1-d7fc5f2cdc85 · outbound

This paper cites A cnn vehicle recognition algo- rithm based on reinforcement learning error and error-prone samples,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras A cnn vehicle recognition algo- rithm based on reinforcement learning error and error-prone samples,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.020396Z

Source-reported events for the cited work

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Observation 26a66a25-f91a-48f5-a30f-1a1e23218734 · outbound

This paper cites Using reinforcement learning with partial vehicle detection for intelligent traffic signal control,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Using reinforcement learning with partial vehicle detection for intelligent traffic signal control,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:37.009480Z

Source-reported events for the cited work

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Observation 3d094e8d-77d8-4e09-bdbf-3ca1fa8a42df · outbound

This paper cites Yolov4: Optimal speed and accuracy of object detection,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Yolov4: Optimal speed and accuracy of object detection,

Reference 8

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Observation 51e3e9bf-2deb-43c2-bc26-13c33392536a · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:36.295227Z

Source-reported events for the cited work

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Observation 6dca5b7d-f209-4468-8d59-ca9f7557be1b · outbound

This paper cites Fast r-cnn,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Fast r-cnn,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:36.297955Z

Source-reported events for the cited work

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Observation 407b23e5-0172-444a-9734-7910b245fe92 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 11

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Observation 769e6721-cdea-4ade-a8b6-a87f71d9313c · outbound

This paper cites Ssd: Single shot multibox detector,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Ssd: Single shot multibox detector,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:36.304005Z

Source-reported events for the cited work

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Observation 9be9ec78-6874-4a44-a194-f31e82668b62 · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras DSSD : Deconvolutional Single Shot Detector

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:36.307124Z

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Observation 26bdf4cf-55d7-4124-b08b-581d8339d7b5 · outbound

This paper cites R-FCN: Object Detection via Region-based Fully Convolutional Networks.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras R-FCN: Object Detection via Region-based Fully Convolutional Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:36.310475Z

Source-reported events for the cited work

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Observation 25adcca0-2a8f-422d-bb8c-169c45f328ca · outbound

This paper cites Feature pyramid networks for object detection,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Feature pyramid networks for object detection,

Reference 15

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Observation ffb3defb-fa36-40dc-b702-4b7fa0de4e0e · outbound

This paper cites Focal loss for dense object detection,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Focal loss for dense object detection,

Reference 16

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Source-reported events for the cited work

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Observation 78a35fe0-382a-4276-ad90-ee418a77cd63 · outbound

This paper cites YOLOv3: An Incremental Improvement.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras YOLOv3: An Incremental Improvement

Reference 17

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Observation 81f13c6d-55a8-4bbe-b8c8-f347a76e8d5c · outbound

This paper cites Efficientdet: Scalable and efficient Page 15 of 16 object detection,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Efficientdet: Scalable and efficient Page 15 of 16 object detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.957062Z

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Observation 72678b1f-66de-40d9-93fe-ea84cf1819c3 · outbound

This paper cites Vehicle detection in urban traffic surveillance images based on convolutional neural networks with feature concatenation,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Vehicle detection in urban traffic surveillance images based on convolutional neural networks with feature concatenation,

Reference 19

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Observation 53b5ca51-5c2c-4be2-8edb-f5b7fc36c067 · outbound

This paper cites Yolov5 base repository,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Yolov5 base repository,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.938262Z

Source-reported events for the cited work

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Observation 5ffc24e4-a88c-450b-bdef-7f69b45fd352 · outbound

This paper cites Spherical formulation of moving object geometric constraints for monocular fisheye cameras,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Spherical formulation of moving object geometric constraints for monocular fisheye cameras,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.928588Z

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.

Observation 6d96a068-f469-46e2-aae9-88ba9fc5ffa1 · outbound

This paper cites Intelligent traffic monitoring and surveillance with multiple cameras,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Intelligent traffic monitoring and surveillance with multiple cameras,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.917690Z

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Observation 72eaf086-cba1-4cf9-a708-2361ce0e1fd0 · outbound

This paper cites Fisheye lens camera based surveillance system for wide field of view monitoring,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Fisheye lens camera based surveillance system for wide field of view monitoring,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.907418Z

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Observation 31f8f1a8-97cc-4fd3-87b6-c3bbea62686b · outbound

This paper cites Real time multi-vehicle tracking and counting at intersections from a fisheye camera,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Real time multi-vehicle tracking and counting at intersections from a fisheye camera,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.896499Z

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.

Observation 5e21e038-2fdf-4ca5-9158-c21192043176 · outbound

This paper cites 360 detection and tracking algorithm of both pedestrian and vehicle using fisheye images,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras 360 detection and tracking algorithm of both pedestrian and vehicle using fisheye images,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.884330Z

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Observation a115cb65-8a2a-4044-873f-99a2dc230c1f · outbound

This paper cites Vehicle detection in close-up range with a fisheye camera,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Vehicle detection in close-up range with a fisheye camera,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.875273Z

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Observation b1dec921-2387-452b-ba2d-12c50732e986 · outbound

This paper cites A blind-zone detection method using a rear-mounted fisheye camera with combination of vehicle detection methods,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras A blind-zone detection method using a rear-mounted fisheye camera with combination of vehicle detection methods,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.866263Z

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Observation f5035266-82b2-407c-aa5b-be4ebb2cc301 · outbound

This paper cites Optimization of a cnn-based object detector for fisheye cameras,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Optimization of a cnn-based object detector for fisheye cameras,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.857494Z

Source-reported events for the cited work

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Observation 24afef7b-6452-41a5-b0e2-ff4dca040bd4 · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Cspnet: A new backbone that can enhance learning capability of cnn,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.846946Z

Source-reported events for the cited work

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Observation ae5c2416-f0b9-44cf-bd89-53fbda9cbf77 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Spatial pyramid pooling in deep convolutional networks for visual recognition,

Reference 30

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Observation 4f857502-05a0-4d0b-b2aa-2907ccd19812 · outbound

This paper cites Path aggregation network for instance segmentation,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Path aggregation network for instance segmentation,

Reference 31

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Observation d3590877-d583-4197-8d4d-2b02d1cf6392 · outbound

This paper cites Microsoft coco: Common objects in context,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Microsoft coco: Common objects in context,

Reference 32

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Observation c152299d-08cc-45c4-adf3-a984aa36d8aa · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 33

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Observation 3afb3421-ac4b-4fb6-8bd8-07e4dad6e412 · outbound

This paper cites 9mp 360-degree camera, fisheye : Interchange in thailand,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras 9mp 360-degree camera, fisheye : Interchange in thailand,

Reference 34

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Observation 76236282-fb66-46b0-a5b5-48b751f2278f · outbound

This paper cites 9mp 360-degree camera, fisyeye : Intersection in thailand no.2,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras 9mp 360-degree camera, fisyeye : Intersection in thailand no.2,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.815744Z

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Observation 5876cd4f-6df4-4e4a-902e-f331bb260f4a · outbound

This paper cites Cropping example of 9mp 360-degree camera (road),.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Cropping example of 9mp 360-degree camera (road),

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.805527Z

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Observation 9c2334fb-2a47-4657-a5eb-1994cf0a16ec · outbound

This paper cites 9mp 360-degree camera, fisheye : Road in thailand,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras 9mp 360-degree camera, fisheye : Road in thailand,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.796027Z

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Observation 3a0c2958-1063-4dc2-b0b1-eb4b1d41f5e4 · outbound

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An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras 6.6 9mp 360 degree camera, fisyeye intersection in thailand,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.786284Z

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

Observation 142d4eca-176d-4352-83ad-a7411af14a06 · outbound

This paper cites Self-training with noisy student improves imagenet classification,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Self-training with noisy student improves imagenet classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.776546Z

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.

Observation 5b12999d-9222-41dd-b81a-7beadd4cd32a · outbound

This paper cites The pascal visual object classes (voc) challenge,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras The pascal visual object classes (voc) challenge,

Reference 40

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Observation 7d12e7fd-d199-4561-99b9-43d58cf35c32 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bound- ing box regression,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Generalized intersection over union: A metric and a loss for bound- ing box regression,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.758484Z

Source-reported events for the cited work

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Observation 1ad040ef-5c35-4b22-a64d-d3ad7b2796a3 · outbound

This paper cites Distance-iou loss: Faster and better learning for bounding box regression,.

An Optimized YOLOv5 Based Approach For Real-time Vehicle Detection At Road Intersections Using Fisheye Cameras Distance-iou loss: Faster and better learning for bounding box regression,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:21:36.747810Z

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.

Pith citing papers

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