Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition | Paper Citation Record

Observation 94154d9a-d712-4637-91f8-794a52d54153 · outbound

This paper cites Ahmed, Siegfried Mercelis, and Ali Anwar.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Ahmed, Siegfried Mercelis, and Ali Anwar

Reference 1

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Observation 14da898d-1c8a-4f4a-8362-48c62948f8a4 · outbound

This paper cites Vehicles-to-everything standardiza- tion, services and enhancements for intelligent transportation systems.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Vehicles-to-everything standardiza- tion, services and enhancements for intelligent transportation systems

Reference 2

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Observation b41e5b3f-a591-4948-9e80-7fff03541e41 · outbound

This paper cites 5g nr- v2x: Toward connected and cooperative autonomous driv- ing.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition 5g nr- v2x: Toward connected and cooperative autonomous driv- ing

Reference 3

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Observation 2a479a14-fd8e-4eb3-8c9a-272262cd30a1 · outbound

This paper cites Malicious drone identification by vi- bration signature measurement: A radar-based approach.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Malicious drone identification by vi- bration signature measurement: A radar-based approach

Reference 4

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Observation f929714b-4c6a-44fc-acb2-46df6cff8929 · outbound

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

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition nuscenes: A multi- modal dataset for autonomous driving

Reference 5

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Observation 8fddaa09-6f7f-40a7-86d0-2679c360cd73 · outbound

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

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 6

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Observation 2877a4e9-b8a1-4c9d-85fc-e4f246aaec5c · outbound

This paper cites Cooperative perception with localization uncertainty: A cubature split covariance intersection framework.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Cooperative perception with localization uncertainty: A cubature split covariance intersection framework

Reference 7

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Observation 5e210aba-9128-47d3-b923-f5e76c6e9c7c · outbound

This paper cites Yolov4-5d: An effective and efficient object detector for au- tonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Yolov4-5d: An effective and efficient object detector for au- tonomous driving

Reference 8

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Observation 9efc55f8-25e1-4b73-91f1-678988315b1c · outbound

This paper cites Bev-v2x: Coop- erative birds-eye-view fusion and grid occupancy prediction via v2x-based data sharing.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Bev-v2x: Coop- erative birds-eye-view fusion and grid occupancy prediction via v2x-based data sharing

Reference 9

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Observation 380834fa-189c-4a7a-9e51-d93f552de10b · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Argoverse: 3d tracking and forecasting with rich maps

Reference 10

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Observation 7f37bfab-39b7-4043-b7ba-6051a2bf6dd2 · outbound

This paper cites Deep neu- ral network based vehicle and pedestrian detection for au- tonomous driving: A survey.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Deep neu- ral network based vehicle and pedestrian detection for au- tonomous driving: A survey

Reference 11

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Observation ed87f322-8350-4ada-8910-2b5bfe13af1e · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition End-to-end autonomous driving: Challenges and frontiers

Reference 12

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Observation 95cdd6a6-6ec0-4ca3-95b3-705a1b15a7fa · outbound

This paper cites A fast coordination approach for large-scale drone swarm.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition A fast coordination approach for large-scale drone swarm

Reference 13

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Observation f1c2ce55-901a-4a12-b019-ff16fc9ee94b · outbound

This paper cites An Effective Information Theoretic Framework for Channel Pruning.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition An Effective Information Theoretic Framework for Channel Pruning

Reference 14

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Observation 919ec57a-a8ca-4bac-8ce1-821445f67cb0 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing

Reference 15

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Observation 348c3cf3-8d52-4b3e-928d-82e9167acffb · outbound

This paper cites V2v- llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2v- llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models

Reference 16

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Observation 4bfb3d3a-94dd-4492-9b14-43332bf90490 · outbound

This paper cites Drone-assisted cooperative routing scheme for seamless connectivity in v2x communication.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Drone-assisted cooperative routing scheme for seamless connectivity in v2x communication

Reference 17

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Observation f7b4d91c-8e68-4685-8128-b04cdfc177e8 · outbound

This paper cites Wireless access for v2x communi- cations: Research, challenges and opportunities.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Wireless access for v2x communi- cations: Research, challenges and opportunities

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:18.764211Z

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Observation 1397ac8e-997e-4008-8c77-2c49ef9c3ec6 · outbound

This paper cites End-to-end v2x latency modeling and analysis in 5g networks.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition End-to-end v2x latency modeling and analysis in 5g networks

Reference 19

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Observation a923a14f-fa33-42c5-9d93-b9410754b1c1 · outbound

This paper cites Carla autonomous driving leaderboard, 2024.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Carla autonomous driving leaderboard, 2024

Reference 20

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Observation 5494c3fd-dc9b-4860-898d-6af5d93c4417 · outbound

This paper cites CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning

Reference 21

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Observation cf629571-09b9-48bc-9e69-0724cf5e9089 · outbound

This paper cites A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework

Reference 22

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Observation 15df2977-36d0-4bc8-aec4-46907c138709 · outbound

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

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:18.264102Z

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Observation 2093e04e-3270-4434-bdca-7300b5d1be39 · outbound

This paper cites Carla: An open urban driv- ing simulator.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Carla: An open urban driv- ing simulator

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:18.080607Z

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Observation c3c5322a-9329-4054-b53a-974db4c750b6 · outbound

This paper cites Quest: Query stream for practical cooperative percep- tion.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Quest: Query stream for practical cooperative percep- tion

Reference 25

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Observation 3cfd18e4-b31e-4d38-a26d-3aa191b5afe0 · outbound

This paper cites U2udata: A large-scale cooperative perception dataset for swarm uavs autonomous flight.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition U2udata: A large-scale cooperative perception dataset for swarm uavs autonomous flight

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:17.752615Z

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Observation 3e8b65d6-3f0a-4e81-9a4d-5591a1521c8f · outbound

This paper cites Self- supervised visual odometry based on scene appearance- structure incremental fusion.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Self- supervised visual odometry based on scene appearance- structure incremental fusion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:17.605685Z

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Observation e05be21b-4990-4194-886e-911b00d90a8d · outbound

This paper cites Automated Vehicles Should be Connected with Natural Language.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Automated Vehicles Should be Connected with Natural Language

Reference 28

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Observation e1481273-3447-4281-9642-2109eff15659 · outbound

This paper cites Langcoop: Collaborative driving with language.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Langcoop: Collaborative driving with language

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:17.480150Z

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Observation 00d2c482-53f2-47e5-b5ee-e1577cbc7486 · outbound

This paper cites AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 30

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Observation ce804239-a694-4482-a0f5-9784d06eab3f · outbound

This paper cites STAMP: Scalable Task And Model-agnostic Collaborative Perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition STAMP: Scalable Task And Model-agnostic Collaborative Perception

Reference 31

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Observation 8ac43aab-5adc-4e2e-bcad-c604a99b5e4c · outbound

This paper cites Integrating cybersecurity in v2x: A review of simulation environments.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Integrating cybersecurity in v2x: A review of simulation environments

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:17.337363Z

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Observation f257ff64-5ee1-43eb-8dd6-342f63df5dac · outbound

This paper cites Rcooper: A real-world large-scale dataset for roadside cooperative perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Rcooper: A real-world large-scale dataset for roadside cooperative perception

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:17.195045Z

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Observation 496d8f5d-e565-4c7d-ae3c-c9043f5ca5ea · outbound

This paper cites Styledrive: Towards driving-style aware benchmark- ing of end-to-end autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Styledrive: Towards driving-style aware benchmark- ing of end-to-end autonomous driving

Reference 34

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Observation 3f4c6c9a-3976-45bb-897b-aaea25b33eb0 · outbound

This paper cites Agc-drive: A large-scale dataset for real-world aerial-ground collaboration in driving scenarios.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Agc-drive: A large-scale dataset for real-world aerial-ground collaboration in driving scenarios

Reference 35

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Observation ddcb2109-b260-4a03-ab06-f3ffb1822445 · outbound

This paper cites Planning-oriented autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Planning-oriented autonomous driving

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:17.056626Z

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Observation 1e0871b0-7b23-4154-bb51-6d2e7a0523ed · outbound

This paper cites Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:16.778732Z

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Observation f9df78b3-1e63-409f-aa8a-8384d23e9065 · outbound

This paper cites Dif- ferentiable integrated motion prediction and planning with learnable cost function for autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Dif- ferentiable integrated motion prediction and planning with learnable cost function for autonomous driving

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:16.533068Z

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Observation 17eea6ad-2d98-482f-866c-fa04e4c5d703 · outbound

This paper cites Rcfl: Redundancy- aware collaborative federated learning in vehicular networks.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Rcfl: Redundancy- aware collaborative federated learning in vehicular networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:16.357678Z

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Observation 9b093d5a-bc0e-47a6-a994-0f9ce6f7dd8a · outbound

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

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Bench2drive: Towards multi-ability bench- marking of closed-loop end-to-end autonomous driving

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:16.188630Z

Source-reported events for the cited work

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Observation 9267d9b9-730b-4e18-aff5-c008ee6d28eb · outbound

This paper cites Vad: Vectorized scene representa- tion for efficient autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 41

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Observation 6114a5cf-459a-4563-b467-772dcb481c99 · outbound

This paper cites A Survey on Vision-Language-Action Models for Autonomous Driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition A Survey on Vision-Language-Action Models for Autonomous Driving

Reference 42

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Observation 2de42e06-6bcd-4e63-b670-9547284b2179 · outbound

This paper cites Dusa: Decoupled unsupervised sim2real adaptation for vehicle-to-everything collaborative perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Dusa: Decoupled unsupervised sim2real adaptation for vehicle-to-everything collaborative perception

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:16.053209Z

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Observation c1c231ae-b880-42f7-b6ce-b426b026935a · outbound

This paper cites Risk map as middleware: Towards interpretable coop- erative end-to-end autonomous driving for risk-aware plan- ning.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Risk map as middleware: Towards interpretable coop- erative end-to-end autonomous driving for risk-aware plan- ning

Reference 44

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:39:09.763283Z

Source-reported events for the cited work

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Observation c0ee71e1-de91-4e6b-b696-b879ea269f4b · outbound

This paper cites V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:39:09.549440Z

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Observation 7e5b3704-bffe-40c0-9f8f-f0425f7517b8 · outbound

This paper cites Coarse-to-Fine: A Dual-Phase Channel-Adaptive Method for Wireless Image Transmission.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Coarse-to-Fine: A Dual-Phase Channel-Adaptive Method for Wireless Image Transmission

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:39:09.415854Z

Source-reported events for the cited work

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Observation 887a7d94-72aa-4d1a-b673-ba4e9c9c7922 · outbound

This paper cites Efficient collaborative perception with integrated un- certainty estimation via evidence regression.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Efficient collaborative perception with integrated un- certainty estimation via evidence regression

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.864782Z

Source-reported events for the cited work

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Observation ceed4cbc-6471-44e1-9320-0b10090a431a · outbound

This paper cites Di-v2x: Learning domain- 10 invariant representation for vehicle-infrastructure collabora- tive 3d object detection.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Di-v2x: Learning domain- 10 invariant representation for vehicle-infrastructure collabora- tive 3d object detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.704374Z

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 054189e4-87a6-40f3-ad7a-ac0d0f38cf07 · outbound

This paper cites V2x-sim: Multi-agent col- laborative perception dataset and benchmark for autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-sim: Multi-agent col- laborative perception dataset and benchmark for autonomous driving

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.522559Z

Source-reported events for the cited work

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Observation 78f466ed-2b8b-44d9-8dc4-1c14460f9212 · outbound

This paper cites A full-scale hierarchical encoder-decoder network with cascading edge-prior for infrared and visible image fusion.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition A full-scale hierarchical encoder-decoder network with cascading edge-prior for infrared and visible image fusion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.408496Z

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 a6ff47d5-e5cb-4bbc-9c98-4ef13a705906 · outbound

This paper cites V2x-unipool: Unifying multimodal perception and knowl- edge reasoning for autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-unipool: Unifying multimodal perception and knowl- edge reasoning for autonomous driving

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:03.109673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549e87ef-94d3-416b-a8b8-474bcd48b2e2 · outbound

This paper cites Class-specific feature selection using fuzzy information- theoretic metrics.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Class-specific feature selection using fuzzy information- theoretic metrics

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.263475Z

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 f168be20-f119-4385-a609-49b83b670abe · outbound

This paper cites Collective percep- tion messages: New low complexity fusion and v2x con- nectivity analysis.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Collective percep- tion messages: New low complexity fusion and v2x con- nectivity analysis

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.141811Z

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 4be5d4e6-1948-4de0-bddb-b3cd5d68e186 · outbound

This paper cites Vlp: Vision language planning for autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Vlp: Vision language planning for autonomous driving

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:15.035086Z

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 dbeb14a7-b7bb-4acf-b4d5-d67308f7bf1e · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Openscene: 3d scene understanding with open vocabularies

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:03.625420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b4f251-8af0-469d-9509-fb8e8ea1f6cf · outbound

This paper cites Interruption- aware cooperative perception for v2x communication-aided autonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Interruption- aware cooperative perception for v2x communication-aided autonomous driving

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:14.880139Z

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 f39f906b-faf2-4094-aa46-ef5ceccb0c5d · outbound

This paper cites First mile: An open inno- vation lab for infrastructure-assisted cooperative intelligent transportation systems.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition First mile: An open inno- vation lab for infrastructure-assisted cooperative intelligent transportation systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:14.697716Z

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 dce717da-dece-49d0-85aa-5b999dd70ebb · outbound

This paper cites Col- laborative semantic occupancy prediction with hybrid fea- ture fusion in connected automated vehicles.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Col- laborative semantic occupancy prediction with hybrid fea- ture fusion in connected automated vehicles

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:14.546316Z

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 df902400-38b1-4de3-9f35-928caa67472a · outbound

This paper cites A systematic literature review of vehicular connectivity and v2x communications: Technical aspects and new chal- lenges.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition A systematic literature review of vehicular connectivity and v2x communications: Technical aspects and new chal- lenges

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:14.313715Z

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 87c0ab78-f090-489b-91ab-10dffd10ca4f · outbound

This paper cites Sae j2735 standard: applying the systems engineering process.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Sae j2735 standard: applying the systems engineering process

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:14.150963Z

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 a7f9aab9-7b15-4808-a1e2-7360fc283ec9 · outbound

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

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Scalability in perception for autonomous driving: Waymo open dataset

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:14.021790Z

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 14b80b13-00ed-4b50-87aa-58824c2a04e1 · outbound

This paper cites Dy- namic v2x perception from road-to-vehicle vision.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Dy- namic v2x perception from road-to-vehicle vision

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:13.879708Z

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 1ad93e3b-f599-4a34-a219-f26fd639e4b1 · outbound

This paper cites A comprehensive overview of the protocols associated with Intelligent Transportation Systems.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition A comprehensive overview of the protocols associated with Intelligent Transportation Systems

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:39:09.129995Z

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 e173ee88-e4c4-46ed-8114-fd63181be30d · outbound

This paper cites Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:04.863133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772da702-3296-473f-97eb-880352e7376b · outbound

This paper cites V2x-dgpe: Addressing domain gaps and pose errors for robust collaborative 3d object detection.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-dgpe: Addressing domain gaps and pose errors for robust collaborative 3d object detection

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:13.653658Z

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 15ab5f64-82a6-4f79-88f5-1b5ec3433341 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:05.091163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec17bc6e-baa3-40d0-8303-0de833053ace · outbound

This paper cites Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:05.213461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098c9caa-5d0e-4179-8561-7f9e3cf88af4 · outbound

This paper cites Generative AI for Autonomous Driving: Frontiers and Opportunities.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:05.360292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ebce9a8-1c1e-4d21-86f7-f9b164dc8198 · outbound

This paper cites CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:39:08.939182Z

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 27e0868d-e575-42f9-a59e-68fea7cdbfe4 · outbound

This paper cites Hecofuse: Cross-modal complemen- tary v2x cooperative perception with heterogeneous sensors.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Hecofuse: Cross-modal complemen- tary v2x cooperative perception with heterogeneous sensors

Reference 70

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:39:08.787828Z

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 b49ece65-1722-4351-8638-c098268b567a · outbound

This paper cites V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:05.748281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2847d78d-a832-4386-a04f-082ab0114053 · outbound

This paper cites One is plenty: A polymorphic feature interpreter for im- mutable heterogeneous collaborative perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition One is plenty: A polymorphic feature interpreter for im- mutable heterogeneous collaborative perception

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:13.438559Z

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 6d802ea2-5946-4da5-8187-eb92fce2ff8b · outbound

This paper cites V2x-real: a largs-scale dataset for vehicle-to- everything cooperative perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-real: a largs-scale dataset for vehicle-to- everything cooperative perception

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:13.293821Z

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 f4cd460c-a870-4082-9d09-212ab8e7a0c0 · outbound

This paper cites V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:06.201331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4106821-c353-480f-bd94-40a724e87b89 · outbound

This paper cites Autotrust: Benchmark- ing trustworthiness in large vision language models for au- tonomous driving.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Autotrust: Benchmark- ing trustworthiness in large vision language models for au- tonomous driving

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:06.242483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ca54a5-ebe7-4d7a-adf5-52dd107fd2fc · outbound

This paper cites Delay-aware cooperative perception with deep reinforce- ment learning in vehicular networks.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Delay-aware cooperative perception with deep reinforce- ment learning in vehicular networks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:13.154831Z

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 fb87abb5-dea3-408c-b060-b66ffc3fc613 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:06.502123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b03e4d3-bf6a-4eba-aace-73e2e3a07bd1 · outbound

This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:12.889245Z

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 f444060d-559a-4260-bd6e-1ba111215d75 · outbound

This paper cites V2x-vitv2: Improved vision transformers for vehicle-to-everything cooperative perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-vitv2: Improved vision transformers for vehicle-to-everything cooperative perception

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:12.715836Z

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 1e1f1532-0ce1-4e0d-9d98-b6c98bd2a3d4 · outbound

This paper cites Cooperative sensing and heterogeneous information fusion in vcps: A multi-agent deep reinforce- ment learning approach.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Cooperative sensing and heterogeneous information fusion in vcps: A multi-agent deep reinforce- ment learning approach

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:12.495715Z

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 e3a0cb48-e3a1-49b0-aac8-3dc94b95ca8f · outbound

This paper cites Au- tonomous driving under v2x environment: state-of-the-art survey and challenges.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Au- tonomous driving under v2x environment: state-of-the-art survey and challenges

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:12.286269Z

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 f4413b5e-2011-4e05-abb1-67e2421cfc47 · outbound

This paper cites V2iviewer: Towards efficient collaborative perception via point cloud data fusion and vehicle-to-infrastructure communications.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2iviewer: Towards efficient collaborative perception via point cloud data fusion and vehicle-to-infrastructure communications

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:12.022981Z

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 961c3e8f-a32a-4c77-ab2c-82d91b8744f9 · outbound

This paper cites V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:07.063571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2980c87b-5103-4ed5-a1bf-aa8b98bbef2f · outbound

This paper cites Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:11.785565Z

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 90068da8-a407-4130-931d-4577217dd578 · outbound

This paper cites Flow-based feature fusion for vehicle- infrastructure cooperative 3d object detection.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Flow-based feature fusion for vehicle- infrastructure cooperative 3d object detection

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:11.633212Z

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 c1616a9d-53b8-4b1f-a4af-6c64a2136f30 · outbound

This paper cites V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecast- ing.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecast- ing

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:07.349328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67baa52e-f6d4-4b46-8d19-5863a68857b8 · outbound

This paper cites End-to-end autonomous driving through v2x cooperation.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition End-to-end autonomous driving through v2x cooperation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:11.428373Z

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 2d746616-b053-44b3-9492-d2a07eec9c5d · outbound

This paper cites Vehicle- to-everything (v2x) in the autonomous vehicles domain–a technical review of communication, sensor, and ai technolo- gies for road user safety.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Vehicle- to-everything (v2x) in the autonomous vehicles domain–a technical review of communication, sensor, and ai technolo- gies for road user safety

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:11.251827Z

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 53ea4f91-4b6a-4627-8718-967e8e55cf31 · outbound

This paper cites Heterogeneous multi- scale cooperative perception for connected autonomous ve- hicles via v2x interaction.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Heterogeneous multi- scale cooperative perception for connected autonomous ve- hicles via v2x interaction

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:10.998705Z

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 8cd9e3a6-dd5f-4615-b04f-40df7e6678b3 · outbound

This paper cites Remote driving of road vehicles: A survey of driving feed- back, latency, support control, and real applications.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Remote driving of road vehicles: A survey of driving feed- back, latency, support control, and real applications

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:10.815513Z

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 46f57b66-3913-44c7-a6ea-ed94ca1ab345 · outbound

This paper cites CooPre: Cooperative Pretraining for V2X Cooperative Perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition CooPre: Cooperative Pretraining for V2X Cooperative Perception

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:07.879426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0067c635-e935-47cb-973d-2d10db8fe1f4 · outbound

This paper cites Leveraging temporal con- texts to enhance vehicle-infrastructure cooperative percep- tion.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Leveraging temporal con- texts to enhance vehicle-infrastructure cooperative percep- tion

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:10.665984Z

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 5333bc41-8e11-4147-8970-f27d89a900dc · outbound

This paper cites CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:39:08.367707Z

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 eec8c793-bb38-47df-822e-72933ca13712 · outbound

This paper cites Tum- traf v2x cooperative perception dataset.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Tum- traf v2x cooperative perception dataset

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:39:10.515398Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers