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Paper Citation Record · LEDGER

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.13266.

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

pith.paper-citation-record.v1
2505.13266 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:15.712560Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:26:21.805666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:35:40.283563Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1966c7d5-4ab8-4ccf-9c0b-3d4abe305c72 · outbound

This paper cites Once-3dlanes: Building monocular 3d lane detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Once-3dlanes: Building monocular 3d lane detection,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.576996Z digest=sha256:ebe3d01a6cc6c617ad014eed33d3dcfb8bc2de7911f3097f3c4196506bc1555f

Observation 36d749ff-7b64-4a93-9927-de0208388cec · outbound

This paper cites Gen-lanenet: A generalized and scalable approach for 3d lane detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Gen-lanenet: A generalized and scalable approach for 3d lane detection,

Reference 2

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raw_fallback, observed 2026-08-15T20:19:16.150033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.582162Z digest=sha256:a13c6922007445a7024f373d74190ea0d11cf9a30873c7196d69d310a1b8e81a

Observation 2c6a19a4-a2f0-4d39-911e-e0ca9431b50d · outbound

This paper cites Laneaf: Robust multi-lane detection with affinity fields,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Laneaf: Robust multi-lane detection with affinity fields,

Reference 3

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no resolver link, observed 2026-08-15T20:19:15.590301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.590301Z digest=sha256:cd4757d5a1b160f8cc5b5f5a83769e03489664fc06a47b8643bd9bc890aba030

Observation 10bc33c9-7b83-48fa-bc9e-1d2186b6ef84 · outbound

This paper cites Lanematch: A practical real-time lo- calization method via lane-matching,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Lanematch: A practical real-time lo- calization method via lane-matching,

Reference 4

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raw_fallback, observed 2026-08-15T20:19:16.113512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.593954Z digest=sha256:f9af343b012a8582c1aa3d1f8dda46304517ab76a9bfac31e988128d618ca4b5

Observation 66ccf982-f67a-4c6f-a7dd-e3647c5fb474 · outbound

This paper cites Adaptive multi-lane detection based on robust instance segmentation for intelligent vehicles,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Adaptive multi-lane detection based on robust instance segmentation for intelligent vehicles,

Reference 5

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raw_fallback, observed 2026-08-15T20:19:16.100359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.597661Z digest=sha256:3146d3a19ca45449660bb1b619b61eebada98e525eb7bd7fc69291dc306393e0

Observation 8ee16f17-732d-42e6-8485-9ff7aeb142e3 · outbound

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

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Keep your eyes on the lane: Real-time attention- guided lane detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.601695Z digest=sha256:448fb4f7b627944bd1354a401fa3744b99a3eb2312f7442efbe11171ad05db34

Observation c5ff9864-e9e1-44c2-946d-b8d2238aa09d · outbound

This paper cites Flamnet: A flexible line anchor mechanism network for lane detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Flamnet: A flexible line anchor mechanism network for lane detection,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.605224Z digest=sha256:012e4c691a91390fbcd9f4b63b23bf340c15298515c37c2f81fde98e57ca62e8

Observation c87a0022-f9cc-413a-80e6-de1eca5acbb1 · outbound

This paper cites A review of lane detection methods based on deep learning,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection A review of lane detection methods based on deep learning,

Reference 8

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raw_fallback, observed 2026-08-15T20:19:16.049665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.609152Z digest=sha256:4b23de11d167cc254138ad806fda4e8cc0b63409b7123de8269e52b26e3b698b

Observation 38711fb4-40db-4632-8370-ac9eb9f69fa1 · outbound

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

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Ultra fast structure-aware deep lane detection,

Reference 9

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raw_fallback, observed 2026-08-15T20:19:16.037492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.613096Z digest=sha256:958828741e42d320d7024e57bec40f4290a78985bb12ef4ff38fbb96f9369f5d

Observation 8e89ea2f-f10a-4825-9091-f484855194f6 · outbound

This paper cites Adaptive inverse perspective mapping for lane map generation with slam,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Adaptive inverse perspective mapping for lane map generation with slam,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.617001Z digest=sha256:c6dc3d6c8b3496853594b7084047368d1f3ef6761fbdf8598eed7f3625a6d0b4

Observation de081dea-1f44-4b0e-b6e2-e4acf0973a83 · outbound

This paper cites 3d- lanenet: end-to-end 3d multiple lane detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection 3d- lanenet: end-to-end 3d multiple lane detection,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.621032Z digest=sha256:d7951462986da2e38c1da6bca1ef83697b5e4ab7608df3c4c1e0616b3c677293

Observation 2a5f5ff9-b58c-4e59-a229-92ae4e08566a · outbound

This paper cites Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.624774Z digest=sha256:4637e6c01088ae8072ee0f60c54b033550058919c964e03fcf95481488be4a8d

Observation 860a13f8-bddf-4b36-825a-b5e535cc933a · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 13

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no resolver link, observed 2026-08-15T20:19:15.628992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.628992Z digest=sha256:63374bda53d2310dcd82b89378c63cb03c16e160dd9ec9055f367c49fc056ae5

Observation 6236044b-216b-4b13-8439-5586ff6d2e4b · outbound

This paper cites Bevformer: Learning birds-eye-view representation from multi-camera images via spatiotemporal transformers,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Bevformer: Learning birds-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 14

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raw_fallback, observed 2026-08-15T20:19:15.973222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.633353Z digest=sha256:e4a11aa045a857fdc78d9481adb11f676fac3e08ac89a6abe6a020369c3115b0

Observation debb8ac0-6556-4332-bef0-3c131ace67cf · outbound

This paper cites Bevheight: A robust framework for vision-based roadside 3d object detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Bevheight: A robust framework for vision-based roadside 3d object detection,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.637347Z digest=sha256:6dc95310b563928439160c110491c099fa1fd3196701ab907a2c7598b3163e70

Observation 7b5fe0ba-b60f-47f6-a86f-66c92187cf67 · outbound

This paper cites an unresolved cited work.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.586623Z digest=sha256:2d2932c20d02b970016e595ce63e5d48471fdc50a4c7a132b4ab6f20f4851b49

Observation 3441d3f9-1835-4f92-842b-fa79a374b796 · outbound

This paper cites BEVHeight++: Toward Robust Visual Centric 3D Object Detection.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection BEVHeight++: Toward Robust Visual Centric 3D Object Detection

Reference 17

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source=pdf_text observed=2026-08-15T20:19:15.641548Z digest=sha256:73a73e65dff10690ed05c110c51eb6952e6d1d1a356aacb2361bcb2465cb777f

Observation b9596cce-973e-4c4f-96c8-855543fc7e2f · outbound

This paper cites Persformer: 3d lane detection via perspective transformer and the openlane benchmark,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Persformer: 3d lane detection via perspective transformer and the openlane benchmark,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.645947Z digest=sha256:f89e4a3777903dbe539d3f85892e1d62589d3be5fe3a0850e442ffee98d5690b

Observation f849a5ed-8bb4-408a-8866-764edf4eb9bf · outbound

This paper cites Latr: 3d lane detection from monocular images with transformer,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Latr: 3d lane detection from monocular images with transformer,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.650702Z digest=sha256:2828613374404dfef5d29c6a633409c9108c97d8112484b82be88885bccb1a1b

Observation f1e5565d-4c65-4128-a98a-40db8600fe0a · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.655738Z digest=sha256:05cbf042ddc9bdff7795eebb5a0d2602e9a28dd638d3989aeae3b0869db61cfd

Observation a646352e-374b-46bf-8787-b57f5f21fb87 · outbound

This paper cites Matrixvt: Efficient multi- camera to bev transformation for 3d perception,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Matrixvt: Efficient multi- camera to bev transformation for 3d perception,

Reference 21

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source=pdf_text observed=2026-08-15T20:19:15.661876Z digest=sha256:e4c13bf9426bc228bced431be6945dcb966ff05ed9f1a8734ca80c2ce91097e6

Observation f3f64c66-9183-4294-bcbb-121ab0af9c26 · outbound

This paper cites Monocular Depth Estimation: A Survey.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Monocular Depth Estimation: A Survey

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.666276Z digest=sha256:2f6f8e4a5759224cd39f03091b452ecbc3adf89784da925f537e4943e7ff9413

Observation 4694fd6b-f408-4cf0-9ab4-d16d6ef36f66 · outbound

This paper cites Guiding monocular depth estimation using depth-attention volume,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Guiding monocular depth estimation using depth-attention volume,

Reference 23

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raw_fallback, observed 2026-08-15T20:19:15.911340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.670718Z digest=sha256:be59bfae3658c14160855f68a2436d3ff3ac7a84e3133e876e3e62c56d4078dd

Observation d1228f45-5cab-41d8-8d5a-11f32b88508e · outbound

This paper cites Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving,

Reference 24

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raw_fallback, observed 2026-08-15T20:19:15.897145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.674257Z digest=sha256:3017b8043b7e9e85f1c701cd3d80111e812635d649c212674afbe18c64b67441

Observation 71a5a2b0-e97a-4ce9-98ca-79d965ccd4d0 · outbound

This paper cites Adabins: Depth estimation using adaptive bins,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Adabins: Depth estimation using adaptive bins,

Reference 25

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no resolver link, observed 2026-08-15T20:19:15.677734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.677734Z digest=sha256:7eae04b6ca371cfbf5e09b30fd203b5010b83a5fb798debd0e71b376c0b4f567

Observation 76b0f31d-3ad1-4118-a032-41b3f7e30691 · outbound

This paper cites HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.680917Z digest=sha256:eb4222a8659d22142d7acc90ca9b1c3ef4e44afe3549710dcda06daabbdb015e

Observation 21eaafc8-571a-4f67-8b40-b1d42829f5f7 · outbound

This paper cites Translating im- ages into maps,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Translating im- ages into maps,

Reference 27

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raw_fallback, observed 2026-08-15T20:19:15.875109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.684512Z digest=sha256:8a3215b77466232d598f3aa6a17b3b1b26caf289c3142a7ce38d2b997ceb893e

Observation 94eb7e98-9bee-4c73-b1b2-99c8c3c5e869 · outbound

This paper cites Hybridnet: A fast vehicle detection system for autonomous driving,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Hybridnet: A fast vehicle detection system for autonomous driving,

Reference 28

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raw_fallback, observed 2026-08-15T20:19:15.862504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.688031Z digest=sha256:13fcc897475fb4f590fec9d93c583c0e74d1630a25faaa490007ba03b16c8fc1

Observation 15bd3ce7-51ec-4cd9-8516-7d51e52f60da · outbound

This paper cites Yolop: You only look once for panoptic driving perception,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Yolop: You only look once for panoptic driving perception,

Reference 29

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raw_fallback, observed 2026-08-15T20:19:15.849737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.691504Z digest=sha256:3b09d013faba01a186b5bbe184ae1b529d1c053b6e1255a38245369863ca37df

Observation aa806868-5e41-4369-9b44-bae9cac629d2 · outbound

This paper cites LaneNet: Real-Time Lane Detection Networks for Autonomous Driving.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection LaneNet: Real-Time Lane Detection Networks for Autonomous Driving

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.695030Z digest=sha256:9acc7f2b9fa49d1bfb34d2ad250ceaa911cd82bb382f8b0051b49d248121ac8a

Observation 8e66d772-f143-4e58-a272-48371694b5eb · outbound

This paper cites Yolact: Real-time instance segmentation,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Yolact: Real-time instance segmentation,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.700090Z digest=sha256:6e00759b3ce3bdeeec763ade11094ab697771659eac29433693b30e4210e4d3a

Observation 2577107b-a421-46a8-941e-c7edd2124bae · outbound

This paper cites Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection,

Reference 32

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raw_fallback, observed 2026-08-15T20:19:15.827820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.703998Z digest=sha256:6fae7e0b6258e648b83c2db1d038efa5333190eab5a62c521bad92956c5bb5e6

Observation f36c6f85-7780-4b32-b564-1f65b01395c2 · outbound

This paper cites Curve- former: 3d lane detection by curve propagation with curve queries and attention,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Curve- former: 3d lane detection by curve propagation with curve queries and attention,

Reference 33

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raw_fallback, observed 2026-08-15T20:19:15.813606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:19:15.707913Z digest=sha256:f66f49c79b5a2ba2e79d4131c533454dbb8a188b81d4a5b2cd3dc436a13d8723

Observation 9c21d93c-0a52-4008-bb4c-9d2b18309dc3 · outbound

This paper cites Deep residual learning for image recognition,.

DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection Deep residual learning for image recognition,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:19:15.712560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:15.712560Z digest=sha256:922aeb27c30306095c5f4485eb476e4586910fec426e08cdc8655d45bd534e16

Pith citing papers

Observation 3f693605-137d-4750-863e-a8255066e2e8 · inbound

HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detection cites this paper.

HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detection DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:35:40.285158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T06:26:21.805666Z digest=sha256:8988eb9cbf4700868d707e31ce17d3831bb65c389fc33214ee7d8aead5d11165