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Paper Citation Record · LEDGER

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges

As of 19 August 2026, this Paper Citation Record lists 100 of 147 outbound references and 1 inbound Pith citation observation for arXiv:2507.10006.

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

pith.paper-citation-record.v1
2507.10006 v1

Coverage vector

measured 100 of 147 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:45:26.399498Z

measured 101 of 101 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 2026-08-01T14:31:03.700583Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 147 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved69
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a6f6fdba-c74b-4ea8-9cab-ad6f50889785 · outbound

This paper cites Public perception of remotely piloted aircraft systems in canada,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Public perception of remotely piloted aircraft systems in canada,

Reference 1

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source=pdf_text observed=2026-08-06T17:45:26.209288Z digest=sha256:ceda6816819a55736f3cc4597c50c58345a27ddd7f650f0ad26fc3d48e3c4202

Observation b59b3753-055e-47a6-a969-d60c57f35907 · outbound

This paper cites Unsupervised aerial– ground re-identification from pedestrian to group for uav-based surveil- lance,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Unsupervised aerial– ground re-identification from pedestrian to group for uav-based surveil- lance,

Reference 2

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source=pdf_text observed=2026-08-06T17:45:26.211796Z digest=sha256:b07ccffde04ab02b61d11d1a6c6a23b2729c23f01c44458c494bf5d02bf1f51d

Observation 8971f091-4dac-4f9f-9dc8-df2bb0515196 · outbound

This paper cites A secure and intelligent data sharing scheme for uav-assisted disaster rescue,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A secure and intelligent data sharing scheme for uav-assisted disaster rescue,

Reference 3

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Observation 37c8debf-1f7a-4493-8092-99116f29dfaa · outbound

This paper cites Wheatnet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Wheatnet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting,

Reference 4

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source=pdf_text observed=2026-08-06T17:45:26.216366Z digest=sha256:b7b1ebbb2893f80b9c48814212d0a146a030db734e04c910a501725b16e486ec

Observation 8959e723-3878-4b9a-8aeb-9581c8d5943f · outbound

This paper cites Security challenges for drone communications: Possible threats, attacks and countermeasures,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Security challenges for drone communications: Possible threats, attacks and countermeasures,

Reference 5

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source=pdf_text observed=2026-08-06T17:45:26.218997Z digest=sha256:9f088db4a88cf242ac066b534e2bfb140c87a450f84d79b80f8d8c90656784cd

Observation 11ac148e-af87-48b8-ac0c-eaabb0577f1b · outbound

This paper cites Vision-based drone detection in complex environments: A survey,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Vision-based drone detection in complex environments: A survey,

Reference 6

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source=pdf_text observed=2026-08-06T17:45:26.221179Z digest=sha256:b1b65915a26ae5bd8302059332f0044c8dbd0aefe7e602a64acf4459103c5d99

Observation 71988817-107d-4dfb-ae6c-95ef281b4329 · outbound

This paper cites Deep learning for unmanned aerial vehicles detection: A review,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Deep learning for unmanned aerial vehicles detection: A review,

Reference 7

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source=pdf_text observed=2026-08-06T17:45:26.223370Z digest=sha256:0be56e494f3565d5350d5b04b923c84706f5134a8584cdb50387eb737a62c3f6

Observation 033a709f-a36d-444f-b83d-1d1d5bd9933f · outbound

This paper cites Machine learning model for leak detection using water pipeline vibration sensor,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Machine learning model for leak detection using water pipeline vibration sensor,

Reference 8

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source=pdf_text observed=2026-08-06T17:45:26.225395Z digest=sha256:bba2922e19fce406d057d1db7cd16c43f4e9a1ee6254a21ee7604ef39195c3f5

Observation d779c123-64ad-400a-a3c7-0ca601e907d8 · outbound

This paper cites Perdet: machine-learning-based uav gps spoofing detection using perception data,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Perdet: machine-learning-based uav gps spoofing detection using perception data,

Reference 9

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source=pdf_text observed=2026-08-06T17:45:26.227285Z digest=sha256:243bc99aad98992b918bc78bd6d04a11a9e46a9de3f88c59716a802e2d2a866f

Observation e861b5b3-209b-4ea8-b00a-6b7ef9215d38 · outbound

This paper cites Biomimetic swarm fission driven algorithm with preassigned target subgroup size,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Biomimetic swarm fission driven algorithm with preassigned target subgroup size,

Reference 10

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source=pdf_text observed=2026-08-06T17:45:26.229139Z digest=sha256:2e065fc267f5e6259470e4671c98fc8b946c03cbc53aba4301af0ec79308b99e

Observation 8c512808-fef9-40c7-9734-9b4f657bed6a · outbound

This paper cites A survey on security of unmanned aerial vehicle systems: Attacks and countermeasures,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A survey on security of unmanned aerial vehicle systems: Attacks and countermeasures,

Reference 11

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source=pdf_text observed=2026-08-06T17:45:26.231115Z digest=sha256:ec3596d92ffcec849311931d8a9520b31baaf85d8185b01d8699cd807f311df6

Observation c46b6a70-0fbd-4947-b638-f49847862b78 · outbound

This paper cites Thinking about anti-drone strategies,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Thinking about anti-drone strategies,

Reference 12

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source=pdf_text observed=2026-08-06T17:45:26.233115Z digest=sha256:f3e1506bea1658f71906185fc1bf5f636a4986c80653a9c83a318366f234ddab

Observation 94210c65-f2ba-49be-b99f-2caf65e331a8 · outbound

This paper cites Drone detection and tracking in real-time by fusion of different sensing modalities,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Drone detection and tracking in real-time by fusion of different sensing modalities,

Reference 13

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source=pdf_text observed=2026-08-06T17:45:26.235039Z digest=sha256:42ce082ac79b454e60c2242d539bb6ecf538665339e34b7a5b67089b1332ba5b

Observation 124a8eaf-2f83-47ae-a7fa-12ac2d95bb07 · outbound

This paper cites Object detection methods for improving uav autonomy and remote sensing applications,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Object detection methods for improving uav autonomy and remote sensing applications,

Reference 14

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source=pdf_text observed=2026-08-06T17:45:26.236943Z digest=sha256:53773d659a1df17992b0dc6f9cc741738c5855bb163d2628f250fcd2ba17073d

Observation 517f873d-0cf1-4f1e-a92d-4c321b361bc5 · outbound

This paper cites Radar-based uav swarm surveillance based on a two-stage wave path difference estimation method,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Radar-based uav swarm surveillance based on a two-stage wave path difference estimation method,

Reference 15

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source=pdf_text observed=2026-08-06T17:45:26.238898Z digest=sha256:614a56d4c12ded2231b73b784c1db6cb774d173136d917468a9861d743f3bd16

Observation a0abc53c-5666-4118-95e5-88c0962cea49 · outbound

This paper cites Deep learning-based drone acoustic event detection system for microphone arrays,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Deep learning-based drone acoustic event detection system for microphone arrays,

Reference 16

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source=pdf_text observed=2026-08-06T17:45:26.240864Z digest=sha256:45cc4cd238016ff5cd26f259392e7ae7840959e8fca5df79ad8ebe128bf49a1f

Observation 8196faf7-ae41-4ee2-9cc1-5b8add1a2e44 · outbound

This paper cites Anti-uav410: A thermal infrared benchmark and customized scheme for tracking drones in the wild,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Anti-uav410: A thermal infrared benchmark and customized scheme for tracking drones in the wild,

Reference 17

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source=pdf_text observed=2026-08-06T17:45:26.242725Z digest=sha256:2de8462d1b208903e8a2a7c665d719406c336c2f0780a05312dffe368319051f

Observation 87095f65-4857-4a9d-952f-8e860abc53a5 · outbound

This paper cites Thermal infrared target tracking: A comprehensive review,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Thermal infrared target tracking: A comprehensive review,

Reference 18

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source=pdf_text observed=2026-08-06T17:45:26.244861Z digest=sha256:95c846a19dc82138c6d04fb6d9ec74a64dd03248eba0802150f34982454a8a4c

Observation 918599af-883e-45b3-a98e-cc2e1fd81850 · outbound

This paper cites Deep learning for visual tracking: A comprehensive survey,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Deep learning for visual tracking: A comprehensive survey,

Reference 19

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source=pdf_text observed=2026-08-06T17:45:26.246912Z digest=sha256:24504f33c2c7d3e6164fc0d37f8c872a05bd18eecd04f27819d678bb12b71f11

Observation 787af764-64fc-4974-b690-b6039e34596d · outbound

This paper cites Drone based rgbt tracking with dual-feature aggregation network,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Drone based rgbt tracking with dual-feature aggregation network,

Reference 20

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source=pdf_text observed=2026-08-06T17:45:26.248800Z digest=sha256:6ece65b1df23470eecfb7d1db48e1037c1339b8576a28d0b3eb65456dc389dbc

Observation 3e602f63-5f9a-4d4c-bcce-9db09a5cd751 · outbound

This paper cites Correlation filter based single object tracking: A review,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Correlation filter based single object tracking: A review,

Reference 21

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source=pdf_text observed=2026-08-06T17:45:26.250631Z digest=sha256:2c03a9ce9684b4f41518cd61e709f60c9daebd98218ab737a57044419e1765e7

Observation c57a7b82-0b6b-4d94-803d-a1d5d662def8 · outbound

This paper cites Robust small infrared target detection using weighted adaptive ring top-hat transformation,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Robust small infrared target detection using weighted adaptive ring top-hat transformation,

Reference 22

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source=pdf_text observed=2026-08-06T17:45:26.252580Z digest=sha256:1cb6c8e399d6b013f1481b04be20bafe49ef3a0983afee5e81e1aaa044e02f65

Observation 493269a6-be5b-469e-b796-e725b2a59151 · outbound

This paper cites Detection and classification of multirotor drones in radar sensor networks: A review,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Detection and classification of multirotor drones in radar sensor networks: A review,

Reference 23

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source=pdf_text observed=2026-08-06T17:45:26.254431Z digest=sha256:b704fd357270d009d0a9063978b5acdd478a0d5efe834d6812dca42e451c0bf9

Observation 50164420-d3fb-40a5-bf80-2709330e0900 · outbound

This paper cites Diat-radsatnet—a novel lightweight dcnn architecture for micro-doppler-based small unmanned aerial vehicle (suav) targets’ detection and classification,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Diat-radsatnet—a novel lightweight dcnn architecture for micro-doppler-based small unmanned aerial vehicle (suav) targets’ detection and classification,

Reference 24

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source=pdf_text observed=2026-08-06T17:45:26.256342Z digest=sha256:dcc18287fa4cda8f86519806f34992f61d6df7cd79701698646b1defed887e5c

Observation 6497d719-c47e-43df-8fbf-65e614a6d068 · outbound

This paper cites Deep learning-based uav detection in pulse-doppler radar,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Deep learning-based uav detection in pulse-doppler radar,

Reference 25

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source=pdf_text observed=2026-08-06T17:45:26.258238Z digest=sha256:7c1f14f684262afbb4f697ce037e0d994475c48b51ea6df0666606990dceaab0

Observation 2ed852aa-09bf-4b0a-ab43-f7d7a3a44560 · outbound

This paper cites Survey of infrared dim small target detection algorithm based on deep learning,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Survey of infrared dim small target detection algorithm based on deep learning,

Reference 26

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source=pdf_text observed=2026-08-06T17:45:26.260107Z digest=sha256:085cee7c762e58bb816b04d86008b25b8f0d48fdd1d0c085f7c207c1a4a37d61

Observation 3b27875c-7563-4317-ac9e-0751a95f414c · outbound

This paper cites Yolo-drone: an optimized yolov8 network for tiny uav object detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Yolo-drone: an optimized yolov8 network for tiny uav object detection,

Reference 27

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source=pdf_text observed=2026-08-06T17:45:26.262383Z digest=sha256:fa5e94f33ef637ae54e72a662530fb4bcdc065a617016a3d289f13e9263e7d9d

Observation ffe6bec7-2f96-402b-837f-617c06eba8ed · outbound

This paper cites Anti-drone detection in aerial multispectral images,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Anti-drone detection in aerial multispectral images,

Reference 28

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source=pdf_text observed=2026-08-06T17:45:26.264250Z digest=sha256:5fb7c539ce0d19391586e785fe5e6444dbf1a98b67dc8158d091a3c64eefceb7

Observation e1f11854-2ebc-40ef-8ca8-f94c9f30b57b · outbound

This paper cites Advanced wavelet transform-based automated system for drone state identification using radio-frequency signal,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Advanced wavelet transform-based automated system for drone state identification using radio-frequency signal,

Reference 29

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source=pdf_text observed=2026-08-06T17:45:26.266040Z digest=sha256:c7ce250186e05fd4c41f4f28a5351433bda4cc452af55670bc05647281ee95b5

Observation a784a8f5-3fc7-4c45-9d2c-ced0acc109ea · outbound

This paper cites Rf-enabled deep-learning-assisted drone detection and identification: An end-to-end approach,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Rf-enabled deep-learning-assisted drone detection and identification: An end-to-end approach,

Reference 30

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source=pdf_text observed=2026-08-06T17:45:26.267937Z digest=sha256:0eea735f4a890cb6e5807e3852299f7e44754b30f39458ae42a91f0f30e17161

Observation 73a7e454-6273-451b-a261-83aafa48cf04 · outbound

This paper cites A review of rf based drone detection, direction of arrival and identification techniques,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A review of rf based drone detection, direction of arrival and identification techniques,

Reference 31

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source=pdf_text observed=2026-08-06T17:45:26.269796Z digest=sha256:c05f23aa1f7b1f6c9212cd921ed265b12951f3af3bee6fbae9e22c13a70187d3

Observation f9fd0593-aba2-4954-b77e-f312c8647632 · outbound

This paper cites Practical study of recurrent neural networks for efficient real-time drone sound detection: a review. drones 7 (1), 26 (2023).

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Practical study of recurrent neural networks for efficient real-time drone sound detection: a review. drones 7 (1), 26 (2023)

Reference 32

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source=pdf_text observed=2026-08-06T17:45:26.271565Z digest=sha256:356ebec12b72188225719db4bae46d781e427a9fde31681383356466aabf150b

Observation d98bd631-eb63-4d01-86c7-f54f3a073f65 · outbound

This paper cites Drone sound detection system based on feature result-level fusion using deep learning,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Drone sound detection system based on feature result-level fusion using deep learning,

Reference 33

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source=pdf_text observed=2026-08-06T17:45:26.273242Z digest=sha256:76e6d3564e014fb7f3273058aaab09a258f06f9704796108d0a1ce4e314bd506

Observation 5fe21a65-eabe-46a8-9dfe-5d9a6f0158bb · outbound

This paper cites The sound of surveillance: Enhancing machine learning- driven drone detection with advanced acoustic augmentation,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges The sound of surveillance: Enhancing machine learning- driven drone detection with advanced acoustic augmentation,

Reference 34

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source=pdf_text observed=2026-08-06T17:45:26.275058Z digest=sha256:ed16be719f55077fa13d95f6e60cbba5d01f02079aba38532103740cbf0f3d50

Observation def3af45-afc0-4e25-b619-36181907a24f · outbound

This paper cites Review of infrared object detection al- gorithms for low-light background,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Review of infrared object detection al- gorithms for low-light background,

Reference 35

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source=pdf_text observed=2026-08-06T17:45:26.277140Z digest=sha256:744bcc8e7651ba01b4d7fb8d29d19656465297dc5f409790929c03d3b0e6fe75

Observation 9c783aba-b80a-43d9-a138-29e5a6802b08 · outbound

This paper cites Uav countermeasures: status quo, breakthroughs, challenges, and future prospects,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Uav countermeasures: status quo, breakthroughs, challenges, and future prospects,

Reference 36

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source=pdf_text observed=2026-08-06T17:45:26.279017Z digest=sha256:b1da27907514209abb5414d21dbcbd95ae77435e5a82c58eb02016b1a0e67ba2

Observation babdad30-dbab-435f-918b-e9dce151c254 · outbound

This paper cites Nation’s defense: A comprehensive review of anti-drone systems and strategies,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Nation’s defense: A comprehensive review of anti-drone systems and strategies,

Reference 37

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source=pdf_text observed=2026-08-06T17:45:26.281130Z digest=sha256:125ae66ad182c9ce669b51ceb1378c39f0bf9685024f4c6049641eae9000f390

Observation 404935e6-1d9b-4dc6-b41a-c2c8a69e554a · outbound

This paper cites A unified approach for tracking uavs in infrared.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A unified approach for tracking uavs in infrared

Reference 38

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source=pdf_text observed=2026-08-06T17:45:26.283035Z digest=sha256:c87d75ca854682717c92f26fda31ca3a8e6d1c03b91ecafea2001c880240278b

Observation b454850c-2be0-4193-9aea-9917b00495b7 · outbound

This paper cites Semi-automatic annotation for visual object tracking,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Semi-automatic annotation for visual object tracking,

Reference 39

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source=pdf_text observed=2026-08-06T17:45:26.284766Z digest=sha256:bc5e6cd951dab0882a49c01f602dd19e47d144960d5bc93e7ce0ce54e83b9c80

Observation 65a67220-909a-4af7-a880-8afb6c7db25a · outbound

This paper cites Effect of annotation errors on drone detection with yolov3,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Effect of annotation errors on drone detection with yolov3,

Reference 40

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source=pdf_text observed=2026-08-06T17:45:26.286429Z digest=sha256:4bde9fc572e0fae3607b83fce921308ab5bd1e2e36d2cc9d70d0d19fd36afc83

Observation 7d19fee8-96e6-4a15-b6ef-7c588f29647d · outbound

This paper cites Ipg-net: Image pyramid guidance network for small object detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Ipg-net: Image pyramid guidance network for small object detection,

Reference 41

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source=pdf_text observed=2026-08-06T17:45:26.288173Z digest=sha256:682572e15eb2f5e4af308eb8ef26d90220f9c6396ab421a2bb41569a2035c14e

Observation 82e389f9-5d57-48ae-95b1-6e0c77a023cf · outbound

This paper cites A real-time robust approach for tracking uavs in infrared videos,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A real-time robust approach for tracking uavs in infrared videos,

Reference 42

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source=pdf_text observed=2026-08-06T17:45:26.289958Z digest=sha256:8a153b66b17431f753a3783463d203c382c8b8125b9b546f5650e155a7058f9f

Observation afc1ad01-93ac-4f71-b628-42dfdcd9d75a · outbound

This paper cites Real world object detection dataset for quadcopter unmanned aerial vehicle detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Real world object detection dataset for quadcopter unmanned aerial vehicle detection,

Reference 43

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source=pdf_text observed=2026-08-06T17:45:26.291920Z digest=sha256:f5c35a4b5388fb181ce28c02cd99ff1230de03a551a32720d16773756b88bde7

Observation 0e7afc09-eeda-45c3-9573-75e48b0c4683 · outbound

This paper cites A novel robust tracking algorithm for anti-uav based on dynamic similarity scale estimation and adaptive occlusion-aware,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A novel robust tracking algorithm for anti-uav based on dynamic similarity scale estimation and adaptive occlusion-aware,

Reference 44

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source=pdf_text observed=2026-08-06T17:45:26.293640Z digest=sha256:14c43485233b09f76db11dc978d66d0026e576f94405cc5d6e01b689dfdc2464

Observation 4ecde27c-53a7-4030-848e-d967a4cb2d7b · outbound

This paper cites Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark,

Reference 45

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source=pdf_text observed=2026-08-06T17:45:26.295318Z digest=sha256:6dc4c64e3abfbac2d8829c7384c78eccfd75510486bbf79b06b946f34eba148d

Observation 2dcf1a0d-5e84-4b5d-bf7b-bb27b34cddc4 · outbound

This paper cites A real-time anti-distractor infrared uav tracker with channel feature refinement 17 module,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A real-time anti-distractor infrared uav tracker with channel feature refinement 17 module,

Reference 46

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source=pdf_text observed=2026-08-06T17:45:26.297060Z digest=sha256:febda9d396fa4e9cd858fa0adeb1a9e55da45f5cc55afcbad7db53ba71063b10

Observation 158169f2-5fea-45bd-b57a-a5c8683ef363 · outbound

This paper cites Infrared small target detection with total variation and reweighted ℓ1 regularization,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Infrared small target detection with total variation and reweighted ℓ1 regularization,

Reference 47

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source=pdf_text observed=2026-08-06T17:45:26.298938Z digest=sha256:ffb7618ace11048587eabef50dfd2de7c6370837e817b41c220a0eeb15009587

Observation 76cf3fa4-8a63-4d70-a672-b6042bd2822d · outbound

This paper cites Anti-uav: A large-scale benchmark for vision- based uav tracking,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Anti-uav: A large-scale benchmark for vision- based uav tracking,

Reference 48

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source=pdf_text observed=2026-08-06T17:45:26.301110Z digest=sha256:007ec0b71343c6f189fb69b43cbb8f637328ea7ae4d18dfe9b77c54a28afdbd6

Observation 05a22593-2309-4f34-9fc2-7c0164273a92 · outbound

This paper cites A comparative study of unauthorized drone detection techniques,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A comparative study of unauthorized drone detection techniques,

Reference 49

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source=pdf_text observed=2026-08-06T17:45:26.302956Z digest=sha256:ca68620fb21073eca47d987f01dd43f6cc6d6422b2b9b718398ff6409a9bedc1

Observation 8692d187-8c40-4462-9fd3-7c5f77ffb4a7 · outbound

This paper cites A benchmark with multi-sensor fusion for uav detection and distance estimation,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A benchmark with multi-sensor fusion for uav detection and distance estimation,

Reference 50

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source=pdf_text observed=2026-08-06T17:45:26.304831Z digest=sha256:71d22955034fa376db4113796b265c540db777216749386a40e1170f9025ea34

Observation 3289972c-1909-4f9a-b225-91e5794251d5 · outbound

This paper cites Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID

Reference 51

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

source=pdf_text observed=2026-08-06T17:45:26.306799Z digest=sha256:053ba81d9866a201f33a1bd19b3612ea12f8dff64b5e4d4088b0d36238e73fe4

Observation c2465270-c4fd-415c-80e0-43ef85303ddf · outbound

This paper cites F-yolov7: fast and robust real-time uav detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges F-yolov7: fast and robust real-time uav detection,

Reference 52

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source=pdf_text observed=2026-08-06T17:45:26.309123Z digest=sha256:5d87038ad136641b875c8d779a5952658005588e391f058134c75d6ec3957b8f

Observation 269d580a-74a7-4f62-bb50-63e7d6e9959c · outbound

This paper cites Yolo-gcof: A lightweight low-altitude drone detection model,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Yolo-gcof: A lightweight low-altitude drone detection model,

Reference 53

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source=pdf_text observed=2026-08-06T17:45:26.311063Z digest=sha256:0606986f459666f4bed7bcf213eaee48943001f67c8fe1e73084f69c98713317

Observation c6700195-6958-4ac3-8c35-dd12501193d0 · outbound

This paper cites Nnakf: A neural network adapted kalman filter for target tracking,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Nnakf: A neural network adapted kalman filter for target tracking,

Reference 54

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source=pdf_text observed=2026-08-06T17:45:26.312891Z digest=sha256:c577a8c96eb7d00d5302997d00723d029e350c3984edb19a755c92210a41ad25

Observation 11b0afd0-530b-4f54-8667-8172707cfb3b · outbound

This paper cites Anti-UA V Organization.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Anti-UA V Organization

Reference 55

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source=pdf_text observed=2026-08-06T17:45:26.314773Z digest=sha256:a6c1ab43927048b3931469936e9d7d585d902f521fffb9fcadddb5d8637feeb3

Observation 84311cb1-f302-4d49-b70e-8af8c563d65e · outbound

This paper cites A novel dataset and detection method for unmanned aerial vehicles using an improved yolov9 algorithm,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A novel dataset and detection method for unmanned aerial vehicles using an improved yolov9 algorithm,

Reference 56

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source=pdf_text observed=2026-08-06T17:45:26.316727Z digest=sha256:754bd3a5f10537792b9ffa6ebb789cff421e04907f56b558960aa62fea64b6de

Observation e02b525f-229f-4b74-bb01-5ee0aef038be · outbound

This paper cites Mmfw-uav dataset: multi-sensor and multi-view fixed-wing uav dataset for air-to-air vision tasks,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Mmfw-uav dataset: multi-sensor and multi-view fixed-wing uav dataset for air-to-air vision tasks,

Reference 57

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source=pdf_text observed=2026-08-06T17:45:26.318767Z digest=sha256:4be721c46842bdc6e1401f643b9611b154438cc373b769f55f81fa9934944a81

Observation 82cf2b7d-7f3d-4ed9-b90f-bd533eb0f006 · outbound

This paper cites Learning adaptive detection and tracking collaborations with augmented uav synthesis for accurate anti-uav system,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Learning adaptive detection and tracking collaborations with augmented uav synthesis for accurate anti-uav system,

Reference 58

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source=pdf_text observed=2026-08-06T17:45:26.320688Z digest=sha256:e08eb9545e56101d399ff80abd528c50a7eecb8fa7deabd34f2b667e0a8d4e99

Observation cf9a6a87-7d53-4e13-85dc-9c45a6a4e074 · outbound

This paper cites Syndronevi- sion: A synthetic dataset for image-based drone detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Syndronevi- sion: A synthetic dataset for image-based drone detection,

Reference 59

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source=pdf_text observed=2026-08-06T17:45:26.322638Z digest=sha256:22ebf88f5100e5e95037775c393e310dd89bb211f80b03700a21d092b568ef98

Observation 71726006-fb11-4d44-9b5b-8a974b11f41f · outbound

This paper cites Wrn-yolo: An improved yolo for drone detection using wide resnet,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Wrn-yolo: An improved yolo for drone detection using wide resnet,

Reference 60

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source=pdf_text observed=2026-08-06T17:45:26.324279Z digest=sha256:c3bc913731d824803a8d6afe5d41b2780183d0e47fcede628a1014c1067eba74

Observation c8ef761e-122c-4f34-8d9f-ea76beace366 · outbound

This paper cites Mmaud: A comprehensive multi-modal anti-uav dataset for modern miniature drone threats,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Mmaud: A comprehensive multi-modal anti-uav dataset for modern miniature drone threats,

Reference 61

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source=pdf_text observed=2026-08-06T17:45:26.326359Z digest=sha256:53836105a85d057d518c3da58aae6e5879b7b06c262f6a453086c71636e6f73b

Observation 7f131541-c15c-458f-b266-768908dd1681 · outbound

This paper cites Global-local mav detection under challenging conditions based on appearance and motion,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Global-local mav detection under challenging conditions based on appearance and motion,

Reference 62

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source=pdf_text observed=2026-08-06T17:45:26.328358Z digest=sha256:90ac50673dc13ce93cb746b90f8ebf060f2697df92e33a9a3e666de23854660b

Observation 5957c578-e81d-4e7c-a8e5-cbd8933c2ab2 · outbound

This paper cites Real-time multi-drone de- tection and tracking for pursuit-evasion with parameter search,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Real-time multi-drone de- tection and tracking for pursuit-evasion with parameter search,

Reference 63

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source=pdf_text observed=2026-08-06T17:45:26.330158Z digest=sha256:563af3aa84401e5562126f5d53d6ea3158cfe0de3c399360eb2b327f57ac8995

Observation 5052be12-0a26-45e9-a9ad-53a5af87e3e1 · outbound

This paper cites Irsdd-yolov5: Focusing on the infrared detection of small drones,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Irsdd-yolov5: Focusing on the infrared detection of small drones,

Reference 64

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source=pdf_text observed=2026-08-06T17:45:26.332134Z digest=sha256:2b558603759b7fc337f5c0572af2fea88efc2dc0e78844845dbf1c16ef1b452c

Observation 67f86d9d-9a38-4892-870e-d5893454a263 · outbound

This paper cites Vision-based anti-uav de- tection and tracking,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Vision-based anti-uav de- tection and tracking,

Reference 65

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source=pdf_text observed=2026-08-06T17:45:26.333943Z digest=sha256:8a2b6c339a61f16d667df8bd400d4b5aa2d7f0fa8a821589280641c4a9c22ba1

Observation 3d1a7770-5b63-4e77-901f-1a3d10fc7ea9 · outbound

This paper cites One-stage cascade refinement networks for infrared small target detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges One-stage cascade refinement networks for infrared small target detection,

Reference 66

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source=pdf_text observed=2026-08-06T17:45:26.335849Z digest=sha256:a15892e39e9981a78a8bde412105823671d1827278c616917cb2ae35cd1a42fd

Observation 3c465286-a8f8-416b-8d58-3de21236cbee · outbound

This paper cites A dataset for multi-sensor drone detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A dataset for multi-sensor drone detection,

Reference 67

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source=pdf_text observed=2026-08-06T17:45:26.337718Z digest=sha256:29fc71313cbd43aa8c2c5fe77e7e0d93924cb092bfd380c08f3d3e31095ee170

Observation c058d02f-c222-4106-84af-7793d2b795e5 · outbound

This paper cites Reconstruction of 3d flight trajectories from ad-hoc camera networks,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Reconstruction of 3d flight trajectories from ad-hoc camera networks,

Reference 68

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source=pdf_text observed=2026-08-06T17:45:26.339743Z digest=sha256:a6dd231f63d9f44f51a70f22dd903835eca23db81a5e7e41e7a9d8e6ab690ac2

Observation 4b3ee68f-a513-490c-bb1a-5489be266b28 · outbound

This paper cites Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning,

Reference 69

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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=2026-08-06T17:45:26.341479Z digest=sha256:625e704e94f8695fcd36142d00550136c86c083f18f767dbb29529328ca01796

Observation e22f1829-228e-4cc8-a911-3b6be47b8148 · outbound

This paper cites On training datasets for machine learning-based visual relative localization of micro-scale uavs,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges On training datasets for machine learning-based visual relative localization of micro-scale uavs,

Reference 70

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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=2026-08-06T17:45:26.343464Z digest=sha256:86009ea7da4b193c6e62f4502559bf158e578f57077f3e418cbfa34898512705

Observation b272b662-11d3-4329-8755-07b344299f6a · outbound

This paper cites Tib-net: Drone detection network with tiny iterative backbone,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Tib-net: Drone detection network with tiny iterative backbone,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.974208Z

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=2026-08-06T17:45:26.345318Z digest=sha256:a2077402f657c16831f2426e02cd82eb98dd3f645756da0de63d3cfc0a8ef1ee

Observation 1d5b7924-0822-449e-a8e5-24f303f68bf6 · outbound

This paper cites Asymmetric contextual modulation for infrared small target detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Asymmetric contextual modulation for infrared small target detection,

Reference 72

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raw_fallback, observed 2026-08-06T17:45:26.968505Z

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=2026-08-06T17:45:26.347186Z digest=sha256:7c316d390d17b3400ecad6552e264da7e37ed19254691cbdc30eb133eb6bf3fb

Observation 371ce891-79d7-4bda-8f71-7d11dba6f024 · outbound

This paper cites Spatiotemporal bundle adjustment for dynamic 3d reconstruction,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Spatiotemporal bundle adjustment for dynamic 3d reconstruction,

Reference 73

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raw_fallback, observed 2026-08-06T17:45:26.962912Z

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=2026-08-06T17:45:26.348934Z digest=sha256:85ed530f25b1f7c84f808e31357fde7a18a689777746b6a4641cb37425474171

Observation 01e6a5dd-8d92-4179-be59-3d82eea792c6 · outbound

This paper cites A method for improving efficiency of anti-uav radar based on fmcw,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A method for improving efficiency of anti-uav radar based on fmcw,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.957368Z

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=2026-08-06T17:45:26.350702Z digest=sha256:afdf22c08d6c05473510504dd631b939b2ad4e3319811b3f76754453f3ba256b

Observation 12b4ddf7-aa0f-4578-85e0-a48b680da4e4 · outbound

This paper cites Unmanned aerial vehicle hub detection using software-defined radio,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Unmanned aerial vehicle hub detection using software-defined radio,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.951741Z

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=2026-08-06T17:45:26.352656Z digest=sha256:58f865646ffa5eb79ef81424b7687114a2fafc25971de6e8fdbb18079cb3fa39

Observation ac1f268f-b85f-4c22-9a80-8cbb27a4e0a0 · outbound

This paper cites Acoustic source localization for anti-uav based on machine learning in wireless sensor networks,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Acoustic source localization for anti-uav based on machine learning in wireless sensor networks,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.945777Z

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=2026-08-06T17:45:26.354462Z digest=sha256:6dbe578e4ff9e6d239180a19b820a13c6adfa5d11dd66a3295f01f27e11ae478

Observation dda8527d-6ee1-492a-a518-551f75bdf127 · outbound

This paper cites Slow-moving micro-uav detection with a small scale digital array radar,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Slow-moving micro-uav detection with a small scale digital array radar,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.939090Z

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=2026-08-06T17:45:26.356261Z digest=sha256:62ee4ce1b495e8b7506b2edb26489769b6f08d23dadd946132f0210e00c9b6d5

Observation 56db83c7-c35e-4c50-8d4e-4ecb26b75f98 · outbound

This paper cites Detection and tracking of drones using advanced acoustic cameras,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Detection and tracking of drones using advanced acoustic cameras,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.933086Z

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=2026-08-06T17:45:26.358113Z digest=sha256:39ede43fde87e0b6c4197d459b9d2ebf4a8a1e39e549a975c4d1ecd9ef45fabb

Observation 6a733132-bfb2-44a9-893d-93aa875bf601 · outbound

This paper cites Anchor-free multi- uav detection and classification using spectrogram,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Anchor-free multi- uav detection and classification using spectrogram,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.927232Z

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=2026-08-06T17:45:26.360044Z digest=sha256:2df2a4842c7ff7221068f4e79e4a510d225df160fdd8f1b48da34d3c1e4231f3

Observation 0f6ac59d-445b-41f5-920c-e60c0e2062ba · outbound

This paper cites A rf-visual di- rectional fusion framework for precise uav positioning,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A rf-visual di- rectional fusion framework for precise uav positioning,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.920621Z

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=2026-08-06T17:45:26.361987Z digest=sha256:b1974318086eb85022c5688886ddc52241e594ab5f85667370399cc108547d62

Observation 9ba7966f-01f7-455b-b6ec-25458612cbe8 · outbound

This paper cites Uav detection and identification based on wifi signal and rf fingerprint,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Uav detection and identification based on wifi signal and rf fingerprint,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.914412Z

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=2026-08-06T17:45:26.363889Z digest=sha256:0d97c0fcf0b10e8c8111cc59e7ee32ee0598a6de6b2d1c660064db980c935dca

Observation 669055ca-180b-4e91-8ad0-e2d95318a96f · outbound

This paper cites Radar detection of low-slow-small uavs in complex environments,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Radar detection of low-slow-small uavs in complex environments,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.907947Z

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=2026-08-06T17:45:26.365741Z digest=sha256:770009c5bfdacea79d20eda23643e31482f47ea79e4ba508c7cf9c2fe4cea1d8

Observation c475fa54-0e9d-4a4a-b959-3e495c8c03b3 · outbound

This paper cites Real-time drone detection and tracking with visible, thermal and acoustic sensors,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Real-time drone detection and tracking with visible, thermal and acoustic sensors,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.901529Z

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=2026-08-06T17:45:26.367573Z digest=sha256:191d15c905d7308b06cbf77d4c8ece67f6e3857d037f727463f937be40107027

Observation 6fedbe76-f8b1-46a5-a37a-b9e7ef2d5b7b · outbound

This paper cites Real-time small drones detection based on pruned yolov4,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Real-time small drones detection based on pruned yolov4,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.894923Z

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=2026-08-06T17:45:26.369490Z digest=sha256:c5d1a9e89dacc11de0d7f1968184dedecb83f9dd0a4513066af41b87966dcff0

Observation 97c97aa9-35e7-4852-b761-19ebbb838c2f · outbound

This paper cites Tph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone- captured scenarios,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Tph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone- captured scenarios,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.888631Z

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=2026-08-06T17:45:26.371330Z digest=sha256:c067a319c53e69c84380ba5dedca4223cb0d4a60aae8a089c8558961e6170c6c

Observation 5051e16f-3b5d-4f1f-b9a6-fe076b8f6947 · outbound

This paper cites Uav detection and tracking in urban environments using passive sensors: A survey,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Uav detection and tracking in urban environments using passive sensors: A survey,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.882151Z

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=2026-08-06T17:45:26.373244Z digest=sha256:794ebd85c98902da1fc48d658b8e5be43656624f552d1c43a7f623704606e5b8

Observation 9576fa5e-d7c3-4081-8b7a-cd06042a020a · outbound

This paper cites You only look once: Unified, real-time object detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges You only look once: Unified, real-time object detection,

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:26.375094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:26.375094Z digest=sha256:ed37b3cb8fcc4d14034f65c2e23f6674f7d85009cccadc6d8f010f0b4fa26e9c

Observation c0909554-bfa7-4817-945d-4e963f232293 · outbound

This paper cites Fast and accurate detection of uav objects based on mobile-yolo network,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Fast and accurate detection of uav objects based on mobile-yolo network,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.872398Z

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=2026-08-06T17:45:26.377096Z digest=sha256:bfda3f7727579388edaf9194a3c7930601b4cb784475699094f45d28b44937e1

Observation 6733114f-0b4a-46e8-90a7-d987750efdc2 · outbound

This paper cites A fine-grained detector of face mask wearing status based on improved yolox,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A fine-grained detector of face mask wearing status based on improved yolox,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.866920Z

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=2026-08-06T17:45:26.379022Z digest=sha256:30b20074528e2d12eef8d6b09264802e6972295b32b3ea80b48da564cb002410

Observation e03a3116-d447-40bf-a19a-4b14ec22814c · outbound

This paper cites Anti-uav detection method based on local-global feature focusing module,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Anti-uav detection method based on local-global feature focusing module,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.861298Z

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=2026-08-06T17:45:26.380840Z digest=sha256:43a4fd3c087d20a9ef533e43c302120e51c170f7f58d2c858316fb5bdbe5ace8

Observation 8ef7c7c0-a94a-4816-b654-995d08960487 · outbound

This paper cites A global-local tracking framework driven by both motion and appearance for infrared anti-uav,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A global-local tracking framework driven by both motion and appearance for infrared anti-uav,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.855739Z

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=2026-08-06T17:45:26.382754Z digest=sha256:0f3cf5105a236d7f01b5ae55d5d1633422cf18bd1a0a6ced7cbb5f9ab21e0c36

Observation 07502fc2-b437-4ba0-aa73-1696beb193e7 · outbound

This paper cites A lightweight anti-unmanned aerial vehicle detection method based on improved yolov11,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A lightweight anti-unmanned aerial vehicle detection method based on improved yolov11,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.849563Z

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=2026-08-06T17:45:26.384538Z digest=sha256:b38832d77f342e1be441b6e0ddef2d2fda10f35f7ae1573b4fd5d25e706948bb

Observation 04406a09-97e3-4866-981d-72fcd65a0227 · outbound

This paper cites Nfe-yolo: A lightweight and efficient detection network for low, slow, and small drones,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Nfe-yolo: A lightweight and efficient detection network for low, slow, and small drones,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.843842Z

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=2026-08-06T17:45:26.386428Z digest=sha256:afc8be16fd854c83dd8971da74ef87c8be0e4858768e4c4e06eec513e6a4eac9

Observation 40c7be14-b7af-4df1-b0cd-4913956ae3b2 · outbound

This paper cites Ldhd-net: A lightweight network with double branch head for feature enhancement of uav targets in complex scenes,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Ldhd-net: A lightweight network with double branch head for feature enhancement of uav targets in complex scenes,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.838160Z

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=2026-08-06T17:45:26.388291Z digest=sha256:d96efb3debf746af5e20a06065379a7949c48a860156a9f3c7ed991a88e6fd95

Observation 4ebf5272-7858-4514-916d-a6326d80cae8 · outbound

This paper cites Bra-yolov10: Uav small target detection based on yolov10,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Bra-yolov10: Uav small target detection based on yolov10,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.831619Z

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=2026-08-06T17:45:26.389991Z digest=sha256:4a34c20bf75ebf0021d00e85429df137c99b0ec66170e7f7af7fb248be43645b

Observation 750944bc-28a0-4197-ac52-496373acfddd · outbound

This paper cites Istd-detr: A deep learning algorithm based on detr and super-resolution for infrared small target detection,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Istd-detr: A deep learning algorithm based on detr and super-resolution for infrared small target detection,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.825013Z

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=2026-08-06T17:45:26.391736Z digest=sha256:fbbb254905b516025b554222b3b2397454c9e7a14022c82d227616db571e5d2f

Observation 692252cf-77a6-48b6-a9cd-28d34287af35 · outbound

This paper cites A lightweight drone detection method integrated into a linear attention mechanism based on improved yolov11,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges A lightweight drone detection method integrated into a linear attention mechanism based on improved yolov11,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.819156Z

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=2026-08-06T17:45:26.393566Z digest=sha256:755a7c2593a534260d4db5f9c877fe6bf07d80820355f28f6b79e60b14ed1bcf

Observation 664d9f43-5d8e-4657-8b5c-b2c7264f8a83 · outbound

This paper cites Uett4k anti-uav: A large scale 4k benchmark dataset for vision-based drone detection in high- resolution imagery,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Uett4k anti-uav: A large scale 4k benchmark dataset for vision-based drone detection in high- resolution imagery,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.813300Z

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=2026-08-06T17:45:26.395483Z digest=sha256:c6fd0ae936c2903010c3aa234431e512426c6a318260dbf1e31fda7f9674ffeb

Observation f84060be-1a38-4244-a7ba-782f3c09cf7f · outbound

This paper cites YOLOv6 v3.0: A Full-Scale Reloading.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges YOLOv6 v3.0: A Full-Scale Reloading

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:26.397371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:26.397371Z digest=sha256:2d72621bdf223573713040229a964a1c3440547671fa6393c7553abebce335e9

Observation e3356649-b111-4732-8e4b-5f562df793e4 · outbound

This paper cites Design of uav target detection network based on deep feature fusion and optimization with small targets in complex contexts,.

Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges Design of uav target detection network based on deep feature fusion and optimization with small targets in complex contexts,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:45:26.807021Z

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=2026-08-06T17:45:26.399498Z digest=sha256:902643c80839ad348842b5cf28a1eb29c1ae91862a1c15d6604fda2cea454e21

Pith citing papers

Observation 5f732bfc-83f1-4f46-a828-939b122aa634 · inbound

SkyEV: RGB-Event UAV detection and tracking dataset and baseline cites this paper.

SkyEV: RGB-Event UAV detection and tracking dataset and baseline Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-01T14:33:25.710286Z

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=2026-08-01T14:31:03.700583Z digest=sha256:1a92b577c746c5270bac2510c422ad0638b22799ab32351adf607244ba1b604c