Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

Benchmark Model Rank Results
3d-multi-object-tracking-on-nuscenesHyDRa#8AMOTA: 0.584
3d-multi-object-tracking-on-nuscenes-camera-2HyDRa#1AMOTA: 0.584
3d-object-detection-on-nuscenesHyDRa#15NDS: 0.64mAP: 0.57mATE: 0.40mASE: 0.25mAOE: 0.42mAVE: 0.25
3d-object-detection-on-nuscenes-camera-radarHyDRa#1NDS: 64.2
3d-object-detection-on-truckscenesHyDRa#1NDS: 22.4mAP: 12.8
3d-object-detection-on-view-of-delft-valHyDRa#1mAP: 60.9
prediction-of-occupancy-grid-maps-on-occ3dHyDRa R50#3mIoU: 44.4