3D Object Detection On Opv2V
Metrics
AP@0.7@CulverCity
AP@0.7@Default
Results
Performance results of various models on this benchmark
Model Name | AP@0.7@CulverCity | AP@0.7@Default | Paper Title | Repository |
|---|---|---|---|---|
| Cooper (PointPillar backbone) | 0.696 | 0.800 | Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds | |
| F-Cooper (PointPillar backbone) | 0.728 | 0.790 | F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds | |
| Late Fusion (PointPillar backbone) | 0.669 | 0.781 | OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication | |
| Attentive Fusion (PointPillar backbone) | 0.735 | 0.815 | OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication | |
| V2VNet (PointPillar backbone) | 0.734 | 0.822 | V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction |
0 of 5 row(s) selected.