V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
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Abstract (arXiv)
Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety in autonomous driving. However, the lack of real-world sequential datasets limits research in this area. To address this issue, we introduce V2X-Seq, the first large-scale sequential V2X dataset, which includes data frames, trajectories, vector maps, and traffic lights captured from natural scenery. V2X-Seq comprises two parts: the sequential perception dataset, which includes more than 15,000 frames captured from 95 scenarios, and the trajectory forecasting dataset, which contains about 80,000 infrastructure-view scenarios, 80,000 vehicle-view scenarios, and 50,000 cooperative-view scenarios captured from 28 intersections' areas, covering 672 hours of data. Based on V2X-Seq, we introduce three new tasks for vehicle-infrastructure cooperative (VIC) autonomous driving: VIC3D Tracking, Online-VIC Forecasting, and Offline-VIC Forecasting. We also provide benchmarks for the introduced tasks. Find data, code, and more up-to-date information at hrefhttps://github.com/AIR-THU/DAIR-V2X-Seqhttps://github.com/AIR-THU/DAIR-V2X-Seq.
Key facts. Cited by 114 papers in the map (data through 14 Oct 2026). Builds on 36 of its 44 references that are in the map. First posted on arXiv 10 May 2023.
Builds on
36 of 44 references.
References · 36
- 2017Attention Is All You Needcited by 60,361
- 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,523
- 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,451
- 2018PointPillars: Fast Encoders for Object Detection from Point Cloudscited by 1,715
- 2019Argoverse: 3D Tracking and Forecasting with Rich Mapscited by 732
- 2023Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecastingcited by 707
- 2021Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetcited by 537
- 2021NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclescited by 493
- 20203DSSD: Point-based 3D Single Stage Object Detectorcited by 440
- 2020TNT: Target-driveN Trajectory Predictioncited by 347
- 2021OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communicationcited by 304
- 2020V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Predictioncited by 292
24 more
- 2018The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systemscited by 277
- 2022DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detectioncited by 273
- 2022Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Mapscited by 255
- 2020One Thousand and One Hours: Self-driving Motion Prediction Datasetcited by 240
- 2021One Million Scenes for Autonomous Driving: ONCE Datasetcited by 218
- 2021Learning Distilled Collaboration Graph for Multi-Agent Perceptioncited by 194
- 2018The ApolloScape Open Dataset for Autonomous Driving and its Applicationcited by 190
- 2019Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Cloudscited by 165
- 2020When2com: Multi-Agent Perception via Communication Graph Groupingcited by 157
- 2021ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detectioncited by 157
- 2022V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Drivingcited by 157
- 2020Who2com: Collaborative Perception via Learnable Handshake Communicationcited by 127
- 2018TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agentscited by 111
- 2019Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensorscited by 110
- 2022COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehiclescited by 95
- 2022Latency-Aware Collaborative Perceptioncited by 86
- 2022Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Taskcited by 81
- 2020AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metricscited by 63
- 2022A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Researchcited by 40
- 2021Score refinement for confidence-based 3D multi-object trackingcited by 32
- 2021AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Drivingcited by 26
- 2023Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Predictioncited by 25
- 2019Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networkscited by 15
- 2021Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Datacited by 11
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Citing papers per year: 2023: 13; 2024: 35; 2025: 42; 2026: 24.
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