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Paper Citation Record · LEDGER

3D Lane Detection with Odometry for High-Speed Vehicle Racing

As of 14 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.14248.

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

pith.paper-citation-record.v1
2607.14248 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:45:09.730470Z

measured 59 of 59 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

59 of 59 outbound references displayed

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Outbound references

Observation 201a1888-78f3-4965-8270-209b61383b6e · outbound

This paper cites Vision-based approach towards lane line detection and vehicle localization,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Vision-based approach towards lane line detection and vehicle localization,

Reference 1

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Observation 27df26af-c96e-427f-a876-ee57a1ca5c16 · outbound

This paper cites Bayesian sensor fusion of gnss and camera with outlier adaptation for vehicle positioning,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Bayesian sensor fusion of gnss and camera with outlier adaptation for vehicle positioning,

Reference 2

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Observation c2a31e60-d8ca-4d4b-bf28-84a84f04d0ca · outbound

This paper cites A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles

Reference 3

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Observation ec82de0b-fdfd-479c-8c8b-2b2816329e08 · outbound

This paper cites Risk-averse model predictive control for racing in adverse conditions,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Risk-averse model predictive control for racing in adverse conditions,

Reference 4

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Observation 279ac7b8-6e4c-4aeb-8e7b-9f704e741089 · outbound

This paper cites A framework for joint vehicle localization and road mapping using onboard sensors,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A framework for joint vehicle localization and road mapping using onboard sensors,

Reference 5

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Observation 292c4ab0-0807-430e-866d-a41d99a96646 · outbound

This paper cites Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Reference 6

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Observation 0757c6d3-9827-4908-8a1d-b9a642fee849 · outbound

This paper cites Federal and state efforts to address rural road safety challenges,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Federal and state efforts to address rural road safety challenges,

Reference 7

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Observation 08b164df-edc0-4fe2-a620-04f0061ee9dd · outbound

This paper cites Real time detection of lane markers in urban streets,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Real time detection of lane markers in urban streets,

Reference 8

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Observation e5a0b6c3-84ce-4258-beeb-b5a2a7eb94c4 · outbound

This paper cites A novel lane detection system with efficient ground truth generation,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A novel lane detection system with efficient ground truth generation,

Reference 9

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Observation 55899b17-3ef2-44f0-9022-000662d7eb16 · outbound

This paper cites A random finite set approach to multiple lane detection,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A random finite set approach to multiple lane detection,

Reference 10

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Observation 0a473fea-df88-4118-b574-5e22c170f27d · outbound

This paper cites Multi-lane detection in urban driving environments using conditional random fields,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Multi-lane detection in urban driving environments using conditional random fields,

Reference 11

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Observation a6d59ee6-f761-4b3a-a273-cfd2f183a59d · outbound

This paper cites Towards end-to-end lane detection: an instance segmen- tation approach,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Towards end-to-end lane detection: an instance segmen- tation approach,

Reference 12

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Observation 37a25cfb-e135-4db3-8170-7c5c5200438e · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Anchor3dlane: Learning to regress 3d anchors for monocular 3d lane detection,

Reference 13

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Observation 9e4f1fa0-878b-4771-9022-a023167bd4f2 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Bev-lanedet: An efficient 3d lane detection based on virtual camera via key-points,

Reference 14

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Observation 07730be8-4de6-49b9-b291-885667d45560 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Gen-lanenet: A generalized and scalable approach for 3d lane detection,

Reference 15

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Observation d6559ded-ab7d-4236-bf81-488913eeb3e2 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Latr: 3d lane detection from monocular images with transformer,

Reference 16

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Observation 4d40c659-9e59-49ee-9073-0bba44bdda73 · outbound

This paper cites Lanecpp: Continuous 3d lane detection using physical priors,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Lanecpp: Continuous 3d lane detection using physical priors,

Reference 17

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Observation dd9d8df6-316e-4766-8e66-45d9ab2a7160 · outbound

This paper cites The apolloscape open dataset for autonomous driving and its application,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing The apolloscape open dataset for autonomous driving and its application,

Reference 18

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Observation a5c9cdc3-636e-41bf-b525-7ae1e6cbb51a · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Once-3dlanes: Building monocular 3d lane detection,

Reference 19

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Observation aa943c84-891f-4682-8f61-d80a967bd1b3 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Persformer: 3d lane detection via perspective transformer and the openlane benchmark,

Reference 20

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Observation aaeebb50-ab91-42e7-b7dd-200c0f1017c2 · outbound

This paper cites CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention.

3D Lane Detection with Odometry for High-Speed Vehicle Racing CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention

Reference 21

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Observation 7ef5c503-e6c3-4404-8aa7-c5dec022cc04 · outbound

This paper cites An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection.

3D Lane Detection with Odometry for High-Speed Vehicle Racing An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection

Reference 22

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Observation 8ac7fa81-048d-47ed-be13-0b7eac6a6613 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing 3d-lanenet: end-to-end 3d multiple lane detection,

Reference 23

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Observation 849874f6-e5bb-4a05-b137-13db125a5aae · outbound

This paper cites 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation.

3D Lane Detection with Odometry for High-Speed Vehicle Racing 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation

Reference 24

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Observation c5200e51-91d7-477e-803f-16c7ab1826cd · outbound

This paper cites Spatial transformer networks,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Spatial transformer networks,

Reference 25

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Observation 3618ddad-4215-4c28-bfc4-17ae52a8ef65 · outbound

This paper cites Reconstruct from top view: A 3d lane detection approach based on geometry structure prior,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Reconstruct from top view: A 3d lane detection approach based on geometry structure prior,

Reference 26

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Observation c5f750f2-4902-474b-9533-7e160741dddd · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Curveformer: 3d lane detection by curve propagation with curve queries and attention,

Reference 27

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Observation 0130372f-4de5-496a-a805-e3c787911db7 · outbound

This paper cites Pvalane: Prior-guided 3d lane detection with view-agnostic feature alignment,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Pvalane: Prior-guided 3d lane detection with view-agnostic feature alignment,

Reference 28

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Observation 4d994759-7e81-43cb-a9a9-e0329f37dc81 · outbound

This paper cites A sim2real deep learning approach for the transformation of images from multiple vehicle- mounted cameras to a semantically segmented image in bird’s eye view,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A sim2real deep learning approach for the transformation of images from multiple vehicle- mounted cameras to a semantically segmented image in bird’s eye view,

Reference 29

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Observation 56c6315a-6c8a-4dc5-bc9f-3d962b35cb7f · outbound

This paper cites Cross-view semantic segmentation for sensing surroundings,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Cross-view semantic segmentation for sensing surroundings,

Reference 30

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Observation 3500f5f2-dcf6-42d3-a5f5-fcfc7e9676d2 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 31

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Observation 0d7e22ed-b4b6-4a6a-b757-8799b12854de · outbound

This paper cites Polylanenet: Lane estimation via deep polyno- mial regression,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Polylanenet: Lane estimation via deep polyno- mial regression,

Reference 32

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Observation 70f48706-3dbe-4056-8db8-4cf0970ee762 · outbound

This paper cites Digging into self-supervised monocular depth estimation,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Digging into self-supervised monocular depth estimation,

Reference 33

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Observation 8ae96f59-3b5c-4341-a586-4b91f41dcad8 · outbound

This paper cites Sparselanestp: Leveraging spatio-temporal priors with sparse transformers for 3d lane detection,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Sparselanestp: Leveraging spatio-temporal priors with sparse transformers for 3d lane detection,

Reference 34

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Observation cdd6604f-e720-4c20-aa36-ce9efb19985a · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Petrv2: A unified framework for 3d perception from multi-camera images,

Reference 35

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Observation 68a9eeee-99a0-49a3-b4e1-b718e0326b37 · outbound

This paper cites Lidar–camera fusion for road detection using fully convolutional neural networks,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Lidar–camera fusion for road detection using fully convolutional neural networks,

Reference 36

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Observation c92f8c00-2400-40d2-b34f-a47895b7eee3 · outbound

This paper cites Deep multi-sensor lane detection,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Deep multi-sensor lane detection,

Reference 37

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Observation 5c3c3a4b-9d8e-442e-957a-0ed33face2fb · outbound

This paper cites Channel attention in lidar-camera fusion for lane line segmentation,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Channel attention in lidar-camera fusion for lane line segmentation,

Reference 38

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source=pdf_text observed=2026-08-02T02:45:07.243644Z digest=sha256:bf5e77961b291115df3c5ee346723483e3a06583a4ed8f6a1f5e519b0a073816

Observation b0819687-3f6b-40a4-ab5a-71e7d9b40f24 · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,

Reference 39

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source=pdf_text observed=2026-08-02T02:45:07.397729Z digest=sha256:505cfc8824355dca1c7fb6e9b58d7618af1a268dbd056308784827d9e659ecdd

Observation a797e0cb-6cd8-4971-9c73-8b609afd4313 · outbound

This paper cites Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development

Reference 40

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source=pdf_text observed=2026-08-02T02:45:07.574596Z digest=sha256:704ff3235895b67e4f6808ee6ad1c1283c48f44f888adaea058bddb216119094

Observation 271f9de1-5abe-45da-a7f5-3980cd1f61e9 · outbound

This paper cites SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception.

3D Lane Detection with Odometry for High-Speed Vehicle Racing SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception

Reference 41

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source=pdf_text observed=2026-08-02T02:45:07.728528Z digest=sha256:58e2507fb2ec592c727028e3ce4909bcbd8a544eeac49be5c4239134e5f95db7

Observation dafa5af9-00df-43b3-8d47-245b4000a692 · outbound

This paper cites Lanecmkt: Boosting monocular 3d lane detection with cross-modal knowledge transfer,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Lanecmkt: Boosting monocular 3d lane detection with cross-modal knowledge transfer,

Reference 42

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source=pdf_text observed=2026-08-02T02:45:07.888806Z digest=sha256:f8ab8bbfd364609b9eb263d1b19544584fc1e60f26b01e0d8711a53d1e8c1202

Observation a19e13dd-86b8-41a8-aee6-0a5bc5b5dd94 · outbound

This paper cites Imu preinte- gration on manifold for efficient visual-inertial maximum-a-posteriori estimation,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Imu preinte- gration on manifold for efficient visual-inertial maximum-a-posteriori estimation,

Reference 43

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source=pdf_text observed=2026-08-02T02:45:07.987650Z digest=sha256:eeb043a3e249235398cfd00e6cec3e6d6a2389a08de47ca81a4cb71b5820a431

Observation e8380fa7-4a6b-44b3-a4ef-d1e9b85598d9 · outbound

This paper cites On-manifold preintegration for real-time visual–inertial odome- try,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing On-manifold preintegration for real-time visual–inertial odome- try,

Reference 44

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source=pdf_text observed=2026-08-02T02:45:08.182554Z digest=sha256:4899938247f92b149798973dc1cea71657facd352df3b4d1245aa3b3ca7b163d

Observation 0fdf9952-460a-47ab-a80d-086fa471d970 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual– inertial, and multimap slam,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Orb-slam3: An accurate open-source library for visual, visual– inertial, and multimap slam,

Reference 45

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source=pdf_text observed=2026-08-02T02:45:08.267111Z digest=sha256:0c41527e269f7f68fdd2955860c61f873790839e5e3eaa7c4475e00d8d5fdb75

Observation 17e1e15f-d6aa-4925-8c58-a0a15f6cef8d · outbound

This paper cites Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending,

Reference 46

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source=pdf_text observed=2026-08-02T02:45:08.412514Z digest=sha256:0a06455c1757b2917592a3316505ba59437776177cbadb95315b2a9cc4991b1c

Observation b6f32273-5b9c-463d-9b09-383ef5da9778 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Vision meets robotics: The kitti dataset,

Reference 47

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source=pdf_text observed=2026-08-02T02:45:08.501175Z digest=sha256:f4dd560ad9b88ec801ba7d8e7afa4bc6b5c12a780f9b66eb9252ae45776f5836

Observation 32729262-822b-42ed-ac8c-de53212d9aca · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing nuscenes: A multimodal dataset for autonomous driving,

Reference 48

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source=pdf_text observed=2026-08-02T02:45:08.575041Z digest=sha256:e0a28182e4ac517fd9b4158261ac9b4ae4bece2886df11e6f60f38ff94d53e42

Observation 08c727e4-6f73-45dc-b3bc-e60218c20601 · outbound

This paper cites RT3000 Product Page,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing RT3000 Product Page,

Reference 49

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source=pdf_text observed=2026-08-02T02:45:08.691385Z digest=sha256:87c86b54192e752068e4ba808f3138fe088c557fdc93b9f650fd7bf02c6e518d

Observation 60fa0572-5722-4106-94b8-23dcb6af5e8e · outbound

This paper cites Deep residual learning for image recognition,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Deep residual learning for image recognition,

Reference 50

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source=pdf_text observed=2026-08-02T02:45:08.803702Z digest=sha256:16beb38232af254d384a02a26f79d2d6504b829abf4ec9fdbbceab911877964d

Observation fe854d42-eafc-457b-8a30-0520ac7c575f · outbound

This paper cites Feature pyramid networks for object detection,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Feature pyramid networks for object detection,

Reference 51

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source=pdf_text observed=2026-08-02T02:45:08.907406Z digest=sha256:1b1d673e74f9d0078696dfaf54ca2cc24fbaa3d351967d60386673c6bf5ca693

Observation f93d5f4c-f0ca-4c03-a1fa-dd689769045d · outbound

This paper cites Unified temporal and spatial calibration for multi-sensor systems,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Unified temporal and spatial calibration for multi-sensor systems,

Reference 52

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source=pdf_text observed=2026-08-02T02:45:08.988123Z digest=sha256:0dac18b838e9357df0b330c5dd1d0f93a1d5fe2bee118a2849f46a8d8f5f6a4a

Observation d3dfe087-efd7-42a3-b764-6842c150fe12 · outbound

This paper cites Extending kalibr: Calibrating the extrinsics of multiple imus and of individual axes,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing Extending kalibr: Calibrating the extrinsics of multiple imus and of individual axes,

Reference 53

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source=pdf_text observed=2026-08-02T02:45:09.102642Z digest=sha256:b6762ead9d7da74fa266c497d12ab8980f314e54a031fe86ad2c0cb11b380009

Observation 632445ef-293a-43d2-a13d-4b84f605e9d5 · outbound

This paper cites A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses,

Reference 54

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source=pdf_text observed=2026-08-02T02:45:09.247586Z digest=sha256:c8f7a8c4ceb1544c9a0a5a5062dc5b0c19fdd8504373cc585f3665af846430c4

Observation 245edc15-fc6e-4d06-a18c-c247b05a8a62 · outbound

This paper cites KNN model- based approach in classification,.

3D Lane Detection with Odometry for High-Speed Vehicle Racing KNN model- based approach in classification,

Reference 55

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source=pdf_text observed=2026-08-02T02:45:09.360449Z digest=sha256:cc8c469ce23b8448101b933bbc17498c0bb5deedb1571f9d2dc2070228e9f8f3

Observation 0444ba68-14c4-4f35-8f2a-42322b2e8367 · outbound

This paper cites A White Paper on Neural Network Quantization.

3D Lane Detection with Odometry for High-Speed Vehicle Racing A White Paper on Neural Network Quantization

Reference 56

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source=pdf_text observed=2026-08-02T02:45:09.466555Z digest=sha256:6e1261a2652e3d75fc3a9022943d8f22d2edce9f1a0cb181f6a3f91007182599

Observation c29249e8-0c27-4de9-bd53-e706c56d7761 · outbound

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

3D Lane Detection with Odometry for High-Speed Vehicle Racing Ultra fast structure-aware deep lane detection,

Reference 57

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source=pdf_text observed=2026-08-02T02:45:09.547616Z digest=sha256:3618554a693e0f7a686a83fd45b3a2871f6a27c7b3709ddab3c97d4ec4afde84

Observation 289292a7-c058-4bfc-afd8-41b6e9cf384e · outbound

This paper cites De Boor,A practical guide to splines: Revised Version.

3D Lane Detection with Odometry for High-Speed Vehicle Racing De Boor,A practical guide to splines: Revised Version

Reference 58

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source=pdf_text observed=2026-08-02T02:45:09.621993Z digest=sha256:ddbb85ee71b4f03b80e202579262222f860bce0fe16f0ed65a0a832442e210d4

Observation 68d19626-c09e-463d-ab51-fd37e4716410 · outbound

This paper cites disagree.

3D Lane Detection with Odometry for High-Speed Vehicle Racing disagree

Reference 59

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source=pdf_text observed=2026-08-02T02:45:09.730470Z digest=sha256:455d5608cced5739d546b293720986db7402cbfccc642abaaaded707f853af58

Pith citing papers

No inbound Pith citation observations are available.