Usage of Common Datasets (from papers with code):
Dataset | Venue | Source | Frame | V2V | V2I | I2I | Agents | Camera | LiDAR | Depth | OD | SS | OT | MP | Website |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V2V-Sim [1] | ECCV'20 | Simu | 51K | ✔ | - | - | 1-7 | - | ✔ | - | ✔ | - | - | ✔ | - |
V2X-Sim [2] | RAL'21 | Simu | 10k | ✔ | ✔ | - | 1-5 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | - | Link |
OPV2V [3] | ICRA'22 | Simu | 11K | ✔ | - | - | 1-7 | ✔ | ✔ | - | ✔ | ✔ | - | - | Link |
DAIR-V2X-C [4] | CVPR'22 | Real | 39k | - | ✔ | - | 2 | ✔ | ✔ | - | ✔ | - | - | - | Link |
V2XSet [5] | ECCV'22 | Simu | 11K | ✔ | ✔ | - | 2-5 | ✔ | ✔ | - | ✔ | - | - | - | Link |
DOLPHINS [6] | ACCV'22 | Simu | 42k | ✔ | ✔ | - | 3 | ✔ | ✔ | - | ✔ | - | - | - | Link |
V2V4Real [7] | CVPR'23 | Real | 20K | ✔ | - | - | 2 | ✔ | ✔ | - | ✔ | - | ✔ | - | Link |
V2X-Seq [8] | CVPR'23 | Real | 15k | - | ✔ | - | 2 | ✔ | ✔ | - | ✔ | - | ✔ | ✔ | Link |
DeepAccident [9] | AAAI'24 | Simu | 57K | ✔ | ✔ | - | 1-5 | ✔ | ✔ | - | ✔ | ✔ | ✔ | ✔ | Link |
HoloVIC [10] | CVPR'24 | Real | 100K | - | ✔ | - | 2 | ✔ | ✔ | - | ✔ | - | ✔ | - | Link |
TUMTraf-V2X [11] | CVPR'24 | Real | 2K | - | ✔ | - | 2 | ✔ | ✔ | - | ✔ | - | ✔ | - | Link |
R-Cooper [12] | CVPR'24 | Real | 30K | - | - | ✔ | 2 | ✔ | ✔ | - | ✔ | - | ✔ | - | Link |
MARS [13] | CVPR'24 | Real | 1.5k | ✔ | - | - | 2-3 | ✔ | ✔ | - | - | - | - | - | Link |
V2X-Real [14] | ECCV'24 | Real | 33k | ✔ | ✔ | ✔ | 2-4 | ✔ | ✔ | - | ✔ | - | - | - | Link |
Notes:
- Source: simulator (Simu) and real-world (Real).
- Frame refers to annotated LiDAR-based cooperative perception frame number.
- Supported common perception tasks: 3D object detection (OD), BEV semantic segmentation (SS), 3D object tracking (OT), motion prediction (MP).
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References:
- V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction (ECCV'20)
- V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving (RAL'21)
- OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication (ICRA'22)
- DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection (CVPR'22)
- V2X-ViT: Vehicle-to-everything cooperative perception with vision transformer (ECCV'22)
- DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving (ACCV'22)
- V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception (CVPR'23)
- V2X-Seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting (CVPR'23)
- DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving (AAAI'24)
- HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative (CVPR'24)
- TUMTraf V2X Cooperative Perception Dataset (CVPR'24)
- RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception (CVPR'24)
- Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset (CVPR'24)
- V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception (ECCV'24)