An interactive enhanced driving dataset for autonomous driving | Paper Citation Record

Observation 3940d837-9d4d-4d68-8a3e-965d205d5a46 · outbound

This paper cites Real-world troublemaker: A 5g cloud-controlled track testing framework for automated driving systems in safety-critical interaction scenarios[J].

An interactive enhanced driving dataset for autonomous driving Real-world troublemaker: A 5g cloud-controlled track testing framework for automated driving systems in safety-critical interaction scenarios[J]

Reference 1

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Observation aaa85162-2e18-45a0-9f2b-f4046aff1f57 · outbound

This paper cites A matched case-control analysis of autonomous vs human-driven vehicleaccidents[J].Naturecommunications,2024,15(1):4931.

An interactive enhanced driving dataset for autonomous driving A matched case-control analysis of autonomous vs human-driven vehicleaccidents[J].Naturecommunications,2024,15(1):4931

Reference 2

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Observation bc515571-511d-452b-b142-811630f7bf2d · outbound

This paper cites Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections.

An interactive enhanced driving dataset for autonomous driving Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections

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Observation 6024644d-bf38-4bc3-8cac-580d6977e25b · outbound

This paper cites Survey of General End-to-End Autonomous Driving: A UnifiedPerspective[J].AuthoreaPreprints,2025.

An interactive enhanced driving dataset for autonomous driving Survey of General End-to-End Autonomous Driving: A UnifiedPerspective[J].AuthoreaPreprints,2025

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Observation a47edc18-e7ff-406f-9888-d80707dcee3f · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

An interactive enhanced driving dataset for autonomous driving VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

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Observation e8d98dd5-f421-4672-b306-1d69efbed607 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

An interactive enhanced driving dataset for autonomous driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

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Observation 28655dd7-4506-4fbf-9b78-a68510818dbc · outbound

This paper cites LatentVLA: Efficient Vision-Language Models forAutonomous DrivingviaLatentActionPrediction[J].arXivpreprintarXiv:2601.05611,2026.

An interactive enhanced driving dataset for autonomous driving LatentVLA: Efficient Vision-Language Models forAutonomous DrivingviaLatentActionPrediction[J].arXivpreprintarXiv:2601.05611,2026

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Observation 88f7d9dd-08d5-4219-ab5c-86d800d89406 · outbound

This paper cites Discrete diffusion for reflective vision-language-action modelsinautonomousdriving[J].arXivpreprintarXiv:2509.20109,2025.

An interactive enhanced driving dataset for autonomous driving Discrete diffusion for reflective vision-language-action modelsinautonomousdriving[J].arXivpreprintarXiv:2509.20109,2025

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Observation 13d1dcf3-906d-4b40-a0f3-e97c8b95f67e · outbound

This paper cites Fastdrivevla: Efficient end-to-end driving via plug-and-play reconstruction-basedtokenpruning[J].arXivpreprintarXiv:2507.23318,2025.

An interactive enhanced driving dataset for autonomous driving Fastdrivevla: Efficient end-to-end driving via plug-and-play reconstruction-basedtokenpruning[J].arXivpreprintarXiv:2507.23318,2025

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Observation 27da6b7d-211c-4d26-a21e-e2ef4e502c30 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

An interactive enhanced driving dataset for autonomous driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 10

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Observation 24e840cd-7855-46c6-b522-7b82bbbbecb2 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 11

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Observation 95878ac0-05fc-42c3-a5de-f35ad53a32bc · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).Paris,France:IEEE,2023:8579-8590.

An interactive enhanced driving dataset for autonomous driving Motionlm: Multi-agent motion forecasting as language modeling[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).Paris,France:IEEE,2023:8579-8590

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:47.112965Z

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Observation 88fa872a-7a92-498b-951b-cd85f5e3c369 · outbound

This paper cites On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data[J].

An interactive enhanced driving dataset for autonomous driving On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data[J]

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:47.185164Z

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Observation b5f89f38-da18-4259-9fd3-6b90da222e04 · outbound

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An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 14

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Observation da37c39f-4ca7-4993-a34c-09cfbba6b294 · outbound

This paper cites One thousand and one hours: Self-driving motion prediction dataset[C]//Proceedings of the 4th Conference on Robot Learning (CoRL).

An interactive enhanced driving dataset for autonomous driving One thousand and one hours: Self-driving motion prediction dataset[C]//Proceedings of the 4th Conference on Robot Learning (CoRL)

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Observation 3d5608de-4357-4e7d-8969-86b074b54441 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 16

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Observation dbcd0e17-580f-459d-a55d-929d683e1ac8 · outbound

This paper cites Curse of rarity for autonomous vehicles[J].

An interactive enhanced driving dataset for autonomous driving Curse of rarity for autonomous vehicles[J]

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Observation e3906930-32b6-4e29-929e-657e89c37552 · outbound

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An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 18

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Observation 55f1d801-5176-4ac6-85eb-e77baeab30da · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 442944bd-ae03-4f15-85d7-70b5a8c47ea2 · outbound

This paper cites One Million Scenes for Autonomous Driving: ONCE Dataset.

An interactive enhanced driving dataset for autonomous driving One Million Scenes for Autonomous Driving: ONCE Dataset

Reference 20

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Observation 0c2355a0-b51c-48a7-8838-5c9fc9d921f8 · outbound

This paper cites DriveLM: Driving with graph visual question answering[C]//Proceedings ofthe European Conferenceon ComputerVision(ECCV).

An interactive enhanced driving dataset for autonomous driving DriveLM: Driving with graph visual question answering[C]//Proceedings ofthe European Conferenceon ComputerVision(ECCV)

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Observation 48a831cf-c130-42f7-8f15-12bf2b738753 · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving[J].

An interactive enhanced driving dataset for autonomous driving Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving[J]

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:47.952228Z

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Observation e6153dff-b987-43ed-a3f1-ab53ccecfbeb · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

An interactive enhanced driving dataset for autonomous driving GPT-Driver: Learning to Drive with GPT

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Observation 0e06e61e-b60d-4dfa-8ce6-b654c0ffd67d · outbound

This paper cites A Language Agent for Autonomous Driving.

An interactive enhanced driving dataset for autonomous driving A Language Agent for Autonomous Driving

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Observation 31abbac4-bdc6-4916-8fe5-446c47367857 · outbound

This paper cites CARLA: An open urban driving simulator[C]//Proceedings ofthe1stConferenceonRobotLearning(CoRL).MountainView, CA,USA:PMLR,2017:1-16.

An interactive enhanced driving dataset for autonomous driving CARLA: An open urban driving simulator[C]//Proceedings ofthe1stConferenceonRobotLearning(CoRL).MountainView, CA,USA:PMLR,2017:1-16

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:48.319393Z

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Observation 29c397f8-0c1d-417e-a432-0a472ffb50bc · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:48.427048Z

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Observation 6cf369fe-53f9-4acf-a940-f6cb8989bfdc · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Resolution: verified exact; doi, observed 2026-08-02T21:24:08.151712Z

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Observation b25c9d66-e021-4425-b760-47e2d4c21c96 · outbound

This paper cites PODAR:Acollision risk model offering valid signals for vehicularinteractions[J].IEEEIntelligentTransportationSystemsMagazine,2025.

An interactive enhanced driving dataset for autonomous driving PODAR:Acollision risk model offering valid signals for vehicularinteractions[J].IEEEIntelligentTransportationSystemsMagazine,2025

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Observation af8c8c2b-7ccd-4af2-855a-34d3842413c5 · outbound

This paper cites VistaScenario: Interaction scenario engineering for vehicleswithintelligentsystemsfortransportautomation[J].IEEETransactionsonIntelligent Vehicles,2024.

An interactive enhanced driving dataset for autonomous driving VistaScenario: Interaction scenario engineering for vehicleswithintelligentsystemsfortransportautomation[J].IEEETransactionsonIntelligent Vehicles,2024

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:48.737834Z

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Observation 30cb85f0-b493-4d49-a993-34f7d06bd269 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:48.899830Z

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Observation 1dba08b9-c264-47b6-b57c-a858662e08fa · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:49.054832Z

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Observation 50714184-7f56-47b6-a462-9cc8b05a4b3b · outbound

This paper cites Surrogate safety measures from traffic simulation models[J].

An interactive enhanced driving dataset for autonomous driving Surrogate safety measures from traffic simulation models[J]

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Observation 7cf4471f-ecbe-477d-b0df-e5b0b9c821a0 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 5dc7cede-8d6c-44f3-a35e-ca30f4286076 · outbound

This paper cites Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures[J].

An interactive enhanced driving dataset for autonomous driving Risk assessment in autonomous driving: a comprehensive survey of risk sources, methodologies, and system architectures[J]

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Observation 9c20f64b-38be-4e34-97be-7c2d152dba92 · outbound

This paper cites Survey on scenario-based safety assessment of automatedvehicles[J].IEEEaccess,2020,8:87456-87477.

An interactive enhanced driving dataset for autonomous driving Survey on scenario-based safety assessment of automatedvehicles[J].IEEEaccess,2020,8:87456-87477

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:49.824419Z

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Observation ba2d8d73-6730-4806-9846-e9231c865368 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

An interactive enhanced driving dataset for autonomous driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

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Observation f6a2d80f-6969-478e-9788-c3d72ac4a158 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 37

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Observation f4ecfa93-a11a-4dec-8cd0-44570a4885c8 · outbound

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

An interactive enhanced driving dataset for autonomous driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

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Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:50.378791Z

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Observation d2e2c204-ae16-45cd-8140-7522418fc00d · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 39

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Observation eb899551-d447-47ae-86b6-41e263f0e254 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

Reference 40

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Observation bb76058d-3d5b-47c8-9c24-468ef7956ff6 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

An interactive enhanced driving dataset for autonomous driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

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Observation 712dfb46-1dc4-452d-849c-c32d03aacdd7 · outbound

This paper cites SIND: A Drone Dataset at Signalized Intersection in China.

An interactive enhanced driving dataset for autonomous driving SIND: A Drone Dataset at Signalized Intersection in China

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Observation 1b820a23-01d4-4fd2-a2f7-cfcd4f3c7527 · outbound

This paper cites Textual explanations for self-driving vehicles[C]//Proceedings of the European Conference on ComputerVision (ECCV).

An interactive enhanced driving dataset for autonomous driving Textual explanations for self-driving vehicles[C]//Proceedings of the European Conference on ComputerVision (ECCV)

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Observation b8b5d319-e3d9-491f-ab0b-cdac7c6f5e44 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 05bd3a8d-f00d-4259-bf69-136624798303 · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 607eaae8-6354-415a-9618-e1485a31f3ba · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 185370b5-2771-482a-9a19-3223703e2be4 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models[J].

An interactive enhanced driving dataset for autonomous driving Chain-of-thought prompting elicits reasoning in large language models[J]

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Observation 624c840c-8a1e-4105-b78e-053479912634 · outbound

This paper cites SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models.

An interactive enhanced driving dataset for autonomous driving SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

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Observation bf88cfa6-ffb5-41e2-be72-78f8cca2a231 · outbound

This paper cites Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models.

An interactive enhanced driving dataset for autonomous driving Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

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Observation b62394ff-9f21-44cb-8e1e-76cefce644b5 · outbound

This paper cites Driveaction: A benchmark for exploring human-like driving decisionsinvlamodels[J].arXivpreprintarXiv:2506.05667,2025.

An interactive enhanced driving dataset for autonomous driving Driveaction: A benchmark for exploring human-like driving decisionsinvlamodels[J].arXivpreprintarXiv:2506.05667,2025

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Observation e1b98c4a-5ced-4313-9048-1242273815ec · outbound

This paper cites LLM-Driven Kernel Evolution:Automating Driver UpdatesinLinux[J].arXivpreprintarXiv:2511.18924,2025.

An interactive enhanced driving dataset for autonomous driving LLM-Driven Kernel Evolution:Automating Driver UpdatesinLinux[J].arXivpreprintarXiv:2511.18924,2025

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Observation 42e96adf-e3de-4b3a-932b-4faf347be58e · outbound

This paper cites Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving.

An interactive enhanced driving dataset for autonomous driving Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving

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Observation 1f69e7ca-af5d-4061-8cdd-7512e1dee242 · outbound

This paper cites LingoQA: Visual question answering for autonomous driving[C]//Proceedings of the European Conference on Computer Vision (ECCV).Milan,Italy:SpringerNatureSwitzerland,2025:252-269.

An interactive enhanced driving dataset for autonomous driving LingoQA: Visual question answering for autonomous driving[C]//Proceedings of the European Conference on Computer Vision (ECCV).Milan,Italy:SpringerNatureSwitzerland,2025:252-269

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Observation 35497294-f679-4e21-96bf-1d8cd21cf00a · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 99bf386f-afc2-4ba9-bdfb-785899ed3c0d · outbound

This paper cites Driving with LLMs: Fusing object-level vector modality for explainable autonomous driving[C]//Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

An interactive enhanced driving dataset for autonomous driving Driving with LLMs: Fusing object-level vector modality for explainable autonomous driving[C]//Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)

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Observation 7f10ddd0-d92c-49bf-958d-1c5e8edd76aa · outbound

This paper cites an unresolved cited work.

An interactive enhanced driving dataset for autonomous driving Unresolved cited work

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Observation 76da3b5a-5002-4798-8ed8-30782928a292 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

An interactive enhanced driving dataset for autonomous driving Kimi K2.5: Visual Agentic Intelligence

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Observation 55b40da6-846c-44f4-a756-2de3ce14b5e3 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

An interactive enhanced driving dataset for autonomous driving Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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Observation 750df653-1647-426d-80c6-070335e0b370 · outbound

This paper cites Lora: Low-rank adaptation of large language models[J].

An interactive enhanced driving dataset for autonomous driving Lora: Low-rank adaptation of large language models[J]

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Coverage vector

Reference resolution

Outbound references

Pith citing papers