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Paper Citation Record · LEDGER

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2602.23499.

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

pith.paper-citation-record.v1
2602.23499 v4

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:21:33.094749Z

measured 56 of 56 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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Outbound references

Observation 8d288337-a2b4-45c5-9d4f-3cc587bbf1fe · outbound

This paper cites A deep learning ap- proach to traffic lights: Detection, tracking, and classifica- tion.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving A deep learning ap- proach to traffic lights: Detection, tracking, and classifica- tion

Reference 1

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Observation 6d5333ee-369b-471d-9513-f441486d5539 · outbound

This paper cites Unsupervised labeled lane markers using maps.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Unsupervised labeled lane markers using maps

Reference 2

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Observation a07ce35e-f65c-4b60-9ec5-d027a6d91cb4 · outbound

This paper cites PDM-Lite: A rule-based planner for carla leaderboard 2.0.https : / / github.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving PDM-Lite: A rule-based planner for carla leaderboard 2.0.https : / / github

Reference 3

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Observation dddc6164-b06a-4ed5-bbc5-74610fe2dedf · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving nuscenes: A multi- modal dataset for autonomous driving

Reference 4

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Observation 99eeb8de-eb0a-4e79-8aa8-2d2130fc7e65 · outbound

This paper cites Addressing action oscillations through learning policy inertia, 2021.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Addressing action oscillations through learning policy inertia, 2021

Reference 5

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Observation 9dfafddc-da4f-45e5-9227-519e5dba6b9a · outbound

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

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Persformer: 3d lane detection via perspective transformer and the openlane benchmark

Reference 6

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Observation 5116b867-8025-4a1a-9820-7e3d667d567d · outbound

This paper cites Transfuser: Imita- tion with transformer-based sensor fusion for autonomous driving.Pattern Analysis and Machine Intelligence (PAMI),.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Transfuser: Imita- tion with transformer-based sensor fusion for autonomous driving.Pattern Analysis and Machine Intelligence (PAMI),

Reference 7

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Observation bf240491-f00d-4867-bd32-3b3cebeaf07c · outbound

This paper cites Sledge: Synthesizing driving environments with generative models and rule-based traffic, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Sledge: Synthesizing driving environments with generative models and rule-based traffic, 2024

Reference 8

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Observation 24dd3e1c-1613-4ef8-a82e-0525cfc97a83 · outbound

This paper cites Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmark- ing.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmark- ing

Reference 9

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Observation cecb7e0c-fac3-45e4-b735-4d59111910d3 · outbound

This paper cites CARLA: An open urban driving simulator.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving CARLA: An open urban driving simulator

Reference 10

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Observation bbc73b72-d8ed-49a4-b2ae-e8179eb4db95 · outbound

This paper cites Everingham, L.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Everingham, L

Reference 11

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Observation 7e475b68-84ed-4133-8da6-616350433056 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 12

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Observation 8a47d08d-d609-49ba-afa2-c1aac9e09ef0 · outbound

This paper cites Springer International Publishing, 2020.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Springer International Publishing, 2020

Reference 13

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Observation 41504d19-6545-4e7b-86a2-da7e9ac99afc · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Lvis: A dataset for large vocabulary instance segmentation

Reference 14

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Observation 91bd370f-a33d-4b34-9f1e-72395546415e · outbound

This paper cites Can vehicle motion planning generalize to realistic long-tail scenarios?, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Can vehicle motion planning generalize to realistic long-tail scenarios?, 2024

Reference 15

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Observation 80d6f01a-302a-4451-82ec-9f34d2ed9910 · outbound

This paper cites Deep residual learning for image recognition.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Deep residual learning for image recognition

Reference 16

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Observation 77b4256c-e00b-400c-a45f-d6bde4094ff2 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 17

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Observation bfbf20b6-09cf-4ab8-8224-1e86f590aff2 · outbound

This paper cites Bench2drive: Towards multi-ability bench- marking of closed-loop end-to-end autonomous driving.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Bench2drive: Towards multi-ability bench- marking of closed-loop end-to-end autonomous driving

Reference 18

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Observation b3f8e440-11b8-4452-a92a-efaecf900f29 · outbound

This paper cites Topobda: Towards bezier de- formable attention for road topology understanding.arXiv preprint arXiv:2412.18951, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Topobda: Towards bezier de- formable attention for road topology understanding.arXiv preprint arXiv:2412.18951, 2024

Reference 19

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Observation eb3bcc4c-78a1-4d2a-a637-b5b341e513ef · outbound

This paper cites TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem

Reference 20

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Observation 305fa948-a2ee-4a46-9c59-746ccfb2a9c6 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 21

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Observation a375b3f3-4b0c-40d9-8411-70dc8a9da348 · outbound

This paper cites Towards learning- based planning: The nuplan benchmark for real-world au- tonomous driving.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Towards learning- based planning: The nuplan benchmark for real-world au- tonomous driving

Reference 22

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Observation b7869f3e-4cd3-42cb-a8a8-0c9564a53541 · outbound

This paper cites Rqr3d: Reparametrizing the regression targets for bev-based 3d object detection.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Rqr3d: Reparametrizing the regression targets for bev-based 3d object detection

Reference 23

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Observation 2848e691-4e7e-4408-b141-5016e386058e · outbound

This paper cites The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

Reference 24

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Observation 3d6d025f-0a2c-4717-bc22-dbf088f962dd · outbound

This paper cites Hdmapnet: An online hd map construction and evaluation framework.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Hdmapnet: An online hd map construction and evaluation framework

Reference 25

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Observation 04d66776-7fa2-4609-867d-8abdecb302bc · outbound

This paper cites Graph-based Topology Reasoning for Driving Scenes.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Graph-based Topology Reasoning for Driving Scenes

Reference 26

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Observation 6a4c3667-7593-4b44-a140-d1768e10c0d6 · outbound

This paper cites an unresolved cited work.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Unresolved cited work

Reference 27

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Observation 80aa6b35-c33c-4c50-ae94-42b41d0b4bde · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 28

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Observation 001c2c5d-6f10-4ac2-9522-68ae7a81d5ae · outbound

This paper cites Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024

Reference 29

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Observation 59294308-a128-439e-b9f8-663fe9e25e33 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Microsoft COCO: Common Objects in Context

Reference 30

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Observation 4a241484-c77c-4df2-8b6c-503323595ac4 · outbound

This paper cites Regularizing action policies for smooth control with reinforcement learning, 2021.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Regularizing action policies for smooth control with reinforcement learning, 2021

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Observation 0acfb641-3808-4bae-87da-56c63a73b2d6 · outbound

This paper cites K-lane: Lidar lane dataset and benchmark for urban roads and highways.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving K-lane: Lidar lane dataset and benchmark for urban roads and highways

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Observation c8520d75-1ccf-40e3-98a3-0d822f170739 · outbound

This paper cites Spatial as deep: Spatial cnn for traffic scene understanding.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Spatial as deep: Spatial cnn for traffic scene understanding

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Observation b2cb787e-7f87-4182-a836-13f29ea04cde · outbound

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

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unproject- ing to 3d

Reference 34

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Observation fa27c3c4-430f-4ebb-904c-62e665755c3e · outbound

This paper cites Traffic light detection: A learning algorithm and evaluations on challenging dataset.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Traffic light detection: A learning algorithm and evaluations on challenging dataset

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Observation ca6af348-301e-446b-aca8-0e164c122e59 · outbound

This paper cites Designing network design spaces.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Designing network design spaces

Reference 36

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Observation 989695e6-72a6-4d0a-8ec7-4a54304ae37a · outbound

This paper cites CarLLaVA: Vision language models for camera-only closed-loop driving.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving CarLLaVA: Vision language models for camera-only closed-loop driving

Reference 37

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source=pdf_text observed=2026-08-02T20:21:31.075670Z digest=sha256:3d6f2eb3adb1a789a01d369187b9d36b4a6a6cc124a243dd05286f24b748a13d

Observation 29029cb6-b9b6-44bd-b7e1-6aa94b6b4c95 · outbound

This paper cites Sophia Koepke, Zeynep Akata, and Andreas Geiger.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Sophia Koepke, Zeynep Akata, and Andreas Geiger

Reference 38

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source=pdf_text observed=2026-08-02T20:21:31.216158Z digest=sha256:dac80c01fb97537613a81cee4a4640036d00793b7dd2df271698e59c1312ee71

Observation 46477ab0-b050-4ce3-aa04-602696da9636 · outbound

This paper cites A statistical interpretation of term specificity and its application in retrieval.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving A statistical interpretation of term specificity and its application in retrieval

Reference 39

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no resolver link, observed 2026-08-02T20:21:31.342206Z

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source=pdf_text observed=2026-08-02T20:21:31.342206Z digest=sha256:b8595b2f04bbf4dc933162c337dedae39002d8898b9a8e402e30d6f60a868321

Observation 37437f5b-d741-4abf-800a-89b97670e9af · outbound

This paper cites Car- lane: A lane detection benchmark for unsupervised do- main adaptation from simulation to multiple real-world do- mains.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Car- lane: A lane detection benchmark for unsupervised do- main adaptation from simulation to multiple real-world do- mains

Reference 40

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source=pdf_text observed=2026-08-02T20:21:31.490168Z digest=sha256:ae57b6a33c838d31173991e34eb4251232c874b234035703405f260aa9adadf8

Observation 3be2acdb-553d-422f-beed-1652fa15fe2c · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Scalability in perception for autonomous driving: Waymo open dataset

Reference 41

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source=pdf_text observed=2026-08-02T20:21:31.606487Z digest=sha256:eb601ff35276ed7cbc9d4fcbb62d0375ddedc8e57d7fab3ba0e8955b8a0e400d

Observation a88d1c47-b92a-4916-bfab-12c9992ef77b · outbound

This paper cites Efficientdet: Scalable and efficient object detection.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Efficientdet: Scalable and efficient object detection

Reference 42

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source=pdf_text observed=2026-08-02T20:21:31.710443Z digest=sha256:70177e2460fbaf6a8912763e6f0874d5330ea3feb400b791bf7b2ca03f20f725

Observation c94f5273-1156-427c-87e8-7d3b9c77bb5b · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Fcos: Fully convolutional one-stage object detection

Reference 43

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source=pdf_text observed=2026-08-02T20:21:31.846738Z digest=sha256:fc740694acd814347e5e04f5ea73775942cefa3a14ac21c33bf25ace48e645ff

Observation ac9e8292-e065-4b9d-9bff-e5e7484a28ec · outbound

This paper cites Openlane-v2: A topology reasoning benchmark for unified 3d hd mapping.Advances in Neural Information Processing Systems, 36, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Openlane-v2: A topology reasoning benchmark for unified 3d hd mapping.Advances in Neural Information Processing Systems, 36, 2024

Reference 44

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source=pdf_text observed=2026-08-02T20:21:31.923000Z digest=sha256:151ef2d385c4922e8126c2173bea5c67ae422ff345cf1564f6b07646373683ff

Observation 253418ce-3479-4b09-a70a-87b75af40aa7 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 45

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source=pdf_text observed=2026-08-02T20:21:32.011233Z digest=sha256:6ef94fd1915e2072b3f3cf793c8cc72fcf5eac79f63d284c3104a8337e9ecb11

Observation e9dcfa3a-a955-447c-af64-979fbb9fbef9 · outbound

This paper cites Topomlp: An simple yet strong pipeline for driving topology reasoning.ICLR, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Topomlp: An simple yet strong pipeline for driving topology reasoning.ICLR, 2024

Reference 46

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source=pdf_text observed=2026-08-02T20:21:32.109422Z digest=sha256:47e116e44542e008c9bc4211c18ba230afda89306e40fafccf63a49d8fb69d64

Observation d3ddc362-b29d-4fb5-9944-762da7d56167 · outbound

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

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Curvelane-nas: Unifying lane- sensitive architecture search and adaptive point blending

Reference 47

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source=pdf_text observed=2026-08-02T20:21:32.202548Z digest=sha256:89ef056ca5205f4c7e9cb0dddd1d97557bdf44531fb8232f9fe879cf2cbeb509

Observation 71c4bf3d-e49f-4882-a901-372a662bf463 · outbound

This paper cites Once-3dlanes: Building monocular 3d lane detec- tion.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Once-3dlanes: Building monocular 3d lane detec- tion

Reference 48

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source=pdf_text observed=2026-08-02T20:21:32.267165Z digest=sha256:080cf9c9dcb1c1634f5e4643403da828b0ca4e52402a5e0292aaad268a5c2448

Observation 27a97541-b7e1-4427-a7e4-6f13b46782c6 · outbound

This paper cites Center- based 3d object detection and tracking.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Center- based 3d object detection and tracking

Reference 49

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source=pdf_text observed=2026-08-02T20:21:32.423711Z digest=sha256:3b9601a9bcb5b5ffb600c93b7c1876af9461be33a150ddbbac7e4e2d1f43771f

Observation ae69841f-6841-4252-b808-2d95de756341 · outbound

This paper cites End-to-end lane marker detection via row-wise classifica- tion, 2020.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving End-to-end lane marker detection via row-wise classifica- tion, 2020

Reference 50

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source=pdf_text observed=2026-08-02T20:21:32.487339Z digest=sha256:cd0dc6a857876bb43fe0f5d7e7e635cc9b6a35fc661eef3d066b65fa551dfb93

Observation 0011cc86-be16-44e3-a6e7-38e3b062f1f3 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 51

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source=pdf_text observed=2026-08-02T20:21:32.554832Z digest=sha256:d4de1d748ff6b56e6fb4c71802f75a13d530dd3225ed40cc18a3da1194ce7de0

Observation 3546e392-1da6-40f7-a96f-0fdd8301160e · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning, 2020.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning, 2020

Reference 52

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source=pdf_text observed=2026-08-02T20:21:32.654747Z digest=sha256:a9f200cbf4495c5d9f062eadfb0fd2f3ea18f3f63c92af65cbcec7e9c9b7bde6

Observation ffcafa20-0376-424a-bd6b-33ed00c64b89 · outbound

This paper cites Cafe-ad: Cross-scenario adaptive feature enhancement for trajectory planning in au- tonomous driving, 2025.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Cafe-ad: Cross-scenario adaptive feature enhancement for trajectory planning in au- tonomous driving, 2025

Reference 53

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source=pdf_text observed=2026-08-02T20:21:32.751390Z digest=sha256:d52149e472ef88e2718e714e517d1ea5fe0fdb6f28e032d007223ffc212398ea

Observation fe8d8b93-83af-49d7-b8cb-3e2cdc1fecc4 · outbound

This paper cites Lanevil: Benchmarking the robustness of lane detection to environmental illusions, 2024.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Lanevil: Benchmarking the robustness of lane detection to environmental illusions, 2024

Reference 54

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source=pdf_text observed=2026-08-02T20:21:32.864749Z digest=sha256:ee4e42bc89e1a05fcaadbd41f835ca7788e21b30391cdf1fe97cb3a3c12aac67

Observation 91c6618e-ffc6-45e4-9a0f-e85aed849f7e · outbound

This paper cites Vil-100: A new dataset and a baseline model for video instance lane de- tection, 2021.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Vil-100: A new dataset and a baseline model for video instance lane de- tection, 2021

Reference 55

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source=pdf_text observed=2026-08-02T20:21:32.936118Z digest=sha256:890218771318f9608b12d5da2a3365ec4031435acfb4feb6ec0a38db5eba998f

Observation 63c279c4-ad3b-4059-a252-5ca9c7d72a9c · outbound

This paper cites Annotation Details Samples in TaCarla were collected using the PlanT [38] data pipeline.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving Annotation Details Samples in TaCarla were collected using the PlanT [38] data pipeline

Reference 56

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source=pdf_text observed=2026-08-02T20:21:33.094749Z digest=sha256:7c46b98174ade8f2434318a5dd2c895e818dc5f55b63f3b9130cab229ccb6392

Pith citing papers

No inbound Pith citation observations are available.