Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:23:52.391378Z
Paper Citation Record · LEDGER
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation
As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.13857.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact4
- verified fuzzy53
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 03afbca7-e481-453a-b069-33b3b3ef3e8b · outbound
This paper cites A review of recent advances in lane detection and departure warning system,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation A review of recent advances in lane detection and departure warning system,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:02.771138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 91027490-085d-402a-8306-c422f76bd9fd · outbound
This paper cites High Definition Map for Automated Driving: Overview and Analysis,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation High Definition Map for Automated Driving: Overview and Analysis,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:02.591047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d8868975-330e-4948-ab18-12d515ce9be7 · outbound
This paper cites AI-Driven Road Maintenance Inspection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation AI-Driven Road Maintenance Inspection,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:02.379405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a5cf8836-dd71-4695-9444-53820a3005b0 · outbound
This paper cites AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:02.207043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bad9fe9c-0803-41c7-9968-706d37d4d934 · outbound
This paper cites BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:02.098914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e4d8ebef-f79a-4456-98e8-a18a7d8ea264 · outbound
This paper cites Inverse perspective mapping simplifies optical flow computation and obstacle detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Inverse perspective mapping simplifies optical flow computation and obstacle detection,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:02.020485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e118a46b-8926-449f-8976-ef27390750d1 · outbound
This paper cites 3D-LaneNet: End-to-End 3D Multiple Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation 3D-LaneNet: End-to-End 3D Multiple Lane Detection,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.940475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6b0ed095-712a-497e-ad47-c1452e8e4484 · outbound
This paper cites Reconstruct from BEV: A 3D Lane Detection Approach based on Geometry Structure Prior,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Reconstruct from BEV: A 3D Lane Detection Approach based on Geometry Structure Prior,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.848703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 64ace993-1a86-4a37-856c-300c9ede1f5d · outbound
This paper cites Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.787857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2176bf0e-6615-4b8e-af70-0b24564c084a · outbound
This paper cites LATR: 3D Lane Detection from Monocular Images with Transformer,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation LATR: 3D Lane Detection from Monocular Images with Transformer,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.693309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fa496990-7616-44ea-b212-3d194337c9a6 · outbound
This paper cites Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.565786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7204a7da-2eee-4c0a-b4c4-25396fea14cd · outbound
This paper cites M$^2$-3DLaneNet: Exploring Multi-Modal 3D Lane Detection.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation M$^2$-3DLaneNet: Exploring Multi-Modal 3D Lane Detection
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:23:53.207959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7f184491-b878-48cc-ae01-a5b659de402e · outbound
This paper cites Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.501162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 13555750-6bc2-4c4b-82c3-255c5464c618 · outbound
This paper cites ONCE-3DLanes: Building Monocular 3D Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation ONCE-3DLanes: Building Monocular 3D Lane Detection,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.409739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01e9243b-2244-4e2d-91d6-820b97a83839 · outbound
This paper cites Unsupervised Learning of Depth and Ego-Motion from Video,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Unsupervised Learning of Depth and Ego-Motion from Video,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.332513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 084bf10a-54aa-416a-8534-b6b9c35e38cc · outbound
This paper cites Digging Into Self-Supervised Monocular Depth Estimation,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Digging Into Self-Supervised Monocular Depth Estimation,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.215235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02ba533d-0ec6-4f89-97b1-c7ed9ebeaf31 · outbound
This paper cites Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:23:52.977454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 37a784ad-e871-4678-a246-0168b1183660 · outbound
This paper cites EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:01.013707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 05eb1102-3d2e-4a12-9e26-d661228baf7a · outbound
This paper cites Learning Lightweight Lane Detection CNNs by Self Attention Distillation,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Learning Lightweight Lane Detection CNNs by Self Attention Distillation,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:00.795895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8056df44-035b-431c-b2ac-d9a45af409ac · outbound
This paper cites RESA: Recurrent Feature-Shift Aggregator for Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation RESA: Recurrent Feature-Shift Aggregator for Lane Detection,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:00.538774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2253fc3d-7c45-48cf-acf9-454a600b8aa9 · outbound
This paper cites Towards End-to-End Lane Detection: an Instance Segmentation Approach,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Towards End-to-End Lane Detection: an Instance Segmentation Approach,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:00.256268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8e31a426-5780-42d5-bdb9-516aa30b04dd · outbound
This paper cites Spatial As Deep: Spatial CNN for Traffic Scene Understanding,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Spatial As Deep: Spatial CNN for Traffic Scene Understanding,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:24:00.076775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 40830a88-eba7-480e-89d5-cf704b63fde1 · outbound
This paper cites End-to-end Lane Detection through Differentiable Least- Squares Fitting,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation End-to-end Lane Detection through Differentiable Least- Squares Fitting,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:59.862333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a9bbd2c8-24f8-47fa-9fe3-f0d75c4d486e · outbound
This paper cites End-to-end Lane Shape Prediction with Transformers,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation End-to-end Lane Shape Prediction with Transformers,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:59.614909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1ebef263-5968-4638-a68d-e2e13942137b · outbound
This paper cites Rethinking Ef- ficient Lane Detection via Curve Modeling,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Rethinking Ef- ficient Lane Detection via Curve Modeling,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:59.388501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 54f51d7e-00cd-4db6-bbf7-4407f8596db5 · outbound
This paper cites GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:23:52.693120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ea7d41bb-3f2e-4797-a581-85d450a95916 · outbound
This paper cites End-to-End Lane Marker Detection via Row-wise Classification,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation End-to-End Lane Marker Detection via Row-wise Classification,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:59.179510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 92f0d693-65ad-419b-b7ab-d9806ca54009 · outbound
This paper cites Focus on Local: Detecting Lane Marker from Bottom Up via Key Point,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Focus on Local: Detecting Lane Marker from Bottom Up via Key Point,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:58.939713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e51166c7-76c1-4c16-b987-b8aa575b33ff · outbound
This paper cites A Keypoint-based Global Association Network for Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation A Keypoint-based Global Association Network for Lane Detection,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:58.628690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5b84bb60-fe58-4ff6-8dcc-15b31beae5e1 · outbound
This paper cites RCLane: Relay Chain Prediction for Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation RCLane: Relay Chain Prediction for Lane Detection,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:58.360327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 472a3687-32d8-4dcb-8d49-ff2be544d3a6 · outbound
This paper cites Ultra Fast Structure-aware Deep Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Ultra Fast Structure-aware Deep Lane Detection,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:58.113775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 47836581-f237-476e-8f69-5c281bbbd5b0 · outbound
This paper cites You Only Look Once: Unified, Real-Time Object Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation You Only Look Once: Unified, Real-Time Object Detection,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:57.762991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4911e273-ac0e-4f61-9a22-b52d2c4ff9f6 · outbound
This paper cites SSD: Single Shot MultiBox Detector,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation SSD: Single Shot MultiBox Detector,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:57.601435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation edb77d7a-4a91-4669-b3cd-0316772f2876 · outbound
This paper cites PointLaneNet: Efficient end-to- end CNNs for accurate real-time lane detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation PointLaneNet: Efficient end-to- end CNNs for accurate real-time lane detection,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:57.407881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eeb30522-22a0-4167-a22a-7a0f66c1c768 · outbound
This paper cites CondLaneNet: a Top-to- down Lane Detection Framework Based on Conditional Convolution,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation CondLaneNet: a Top-to- down Lane Detection Framework Based on Conditional Convolution,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:57.248866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b7864d30-ebd0-4aaa-95e8-7b1d8b3fa320 · outbound
This paper cites CLRNet: Cross Layer Refinement Network for Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation CLRNet: Cross Layer Refinement Network for Lane Detection,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:57.129932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 26bf0eaa-0ae3-4a38-9050-e954775dee6b · outbound
This paper cites Lane- former: Object-aware Row-Column Transformers for Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Lane- former: Object-aware Row-Column Transformers for Lane Detection,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:56.904154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5d8dfd48-0204-4b7c-97a5-53eef98218c3 · outbound
This paper cites Line-CNN: End-to-End Traffic Line Detection with Line Proposal Unit,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Line-CNN: End-to-End Traffic Line Detection with Line Proposal Unit,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:56.759685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ad58103f-38cd-4853-9225-25b113159d7d · outbound
This paper cites Keep your Eyes on the Lane: Real-time Attention- guided Lane Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Keep your Eyes on the Lane: Real-time Attention- guided Lane Detection,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:56.612094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation efaed4b4-b0f2-43ec-95e4-028c0df4c88f · outbound
This paper cites Recent progress in road and lane detection: A survey,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Recent progress in road and lane detection: A survey,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:56.396120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d5260abe-7397-4c4c-9dd1-e68cc83db320 · outbound
This paper cites PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:56.212375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4374e422-228b-4cc5-9944-88c50f0ab336 · outbound
This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Deformable DETR: Deformable Transformers for End-to-End Object Detection,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:56.073027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e199528f-82fc-4643-9289-04de958d9a30 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:55.966335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62934091-68a1-417c-8e56-a1d444ef004f · outbound
This paper cites Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Cam- era Intrinsics and Distortion Coefficients,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Cam- era Intrinsics and Distortion Coefficients,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:55.871763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 862ee4d9-4d5e-4092-853e-abce1a135613 · outbound
This paper cites Depth Map Prediction from a Single Image using a Multi-Scale Deep Network,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Depth Map Prediction from a Single Image using a Multi-Scale Deep Network,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:55.693361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 43a79aef-bb90-4759-9960-23f6f312b5c5 · outbound
This paper cites Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:55.527974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a89d78a7-877c-47b3-9eac-0ddabe56e45a · outbound
This paper cites Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:55.354446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c20735c-a227-49da-a263-3d6bfc6cb519 · outbound
This paper cites Szeliski, Computer Vision, 2022.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Szeliski, Computer Vision, 2022
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:55.188019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 85b304af-b2d8-433e-9f14-2dc6a5ea0d4e · outbound
This paper cites Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:54.937717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 08b21d9b-791c-4d82-b2c6-d4eff3a69d76 · outbound
This paper cites Curve- Former: 3D Lane Detection by Curve Propagation with Curve Queries and Attention,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Curve- Former: 3D Lane Detection by Curve Propagation with Curve Queries and Attention,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:54.779808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 265f0709-876a-4a1b-bbb3-95c69c165c99 · outbound
This paper cites CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:23:52.539119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1362da24-7540-464a-bef5-36e1e188ce25 · outbound
This paper cites Focal Loss for Dense Object Detection,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Focal Loss for Dense Object Detection,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:54.628812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4840c76a-58be-49b2-b2c6-640ad10558cf · outbound
This paper cites Scalability in Per- ception for Autonomous Driving: Waymo Open Dataset,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Scalability in Per- ception for Autonomous Driving: Waymo Open Dataset,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:54.446646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ad788ea1-2b39-4495-bd57-d7ffaae5b14b · outbound
This paper cites Decoupled Weight Decay Regulariza- tion,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Decoupled Weight Decay Regulariza- tion,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:54.242678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d0504ad4-be6c-4683-9a0d-e8046e3e9ff5 · outbound
This paper cites Adam: A Method for Stochastic Optimization,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Adam: A Method for Stochastic Optimization,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:53.977210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01e79bc7-6a6a-4da8-a062-28782e572640 · outbound
This paper cites Deep Residual Learning for Image Recognition,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation Deep Residual Learning for Image Recognition,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:53.714169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 420ef642-852c-4cf1-b386-347d03349695 · outbound
This paper cites PointPillars: Fast Encoders for Object Detection from Point Clouds,.
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation PointPillars: Fast Encoders for Object Detection from Point Clouds,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:23:53.463616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.