SimBEV is a randomized synthetic data generation tool and a 320-scene, 102,400-frame dataset with eight-class BEV segmentation and 3D bounding box annotations.
BEVFusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation
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SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
SimBEV is a randomized synthetic data generation tool and a 320-scene, 102,400-frame dataset with eight-class BEV segmentation and 3D bounding box annotations.