OPV2V is a large-scale open simulated dataset for Vehicle-to-Vehicle perception. It contains over 70 interesting scenes, 11,464 frames, and 232,913 annotated 3D vehicle bounding boxes, collected from 8 towns in CARLA and a digital town of Culver City, Los Angeles.
Variants: OPV2V
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| 3D Object Detection | Attentive Fusion (PointPillar backbone) | OPV2V: An Open Benchmark Dataset … | 2021-09-16 |
| 3D Object Detection | Late Fusion (PointPillar backbone) | OPV2V: An Open Benchmark Dataset … | 2021-09-16 |
| 3D Object Detection | V2VNet (PointPillar backbone) | V2VNet: Vehicle-to-Vehicle Communication for Joint … | 2020-08-17 |
| 3D Object Detection | F-Cooper (PointPillar backbone) | F-Cooper: Feature based Cooperative Perception … | 2019-09-13 |
| 3D Object Detection | Cooper (PointPillar backbone) | Cooper: Cooperative Perception for Connected … | 2019-05-13 |
Recent papers with results on this dataset: