GaussianFusion presents a 3D Gaussian-based framework that unifies multi-modal features in continuous space for 3D object detection and semantic occupancy, reporting gains over BEVFusion and GaussFormer on nuScenes.
Octreeocc: Efficient and multi-granularity occupancy prediction using octree queries.arXiv preprint arXiv:2312.03774,
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DRVR uses range-view and geometry-aware voxel-view encoders plus fusion to deliver 5.4% higher mIoU and 2.1x faster inference than multi-sweep baselines on nuScenes-Occupancy from single sweeps.
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GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
GaussianFusion presents a 3D Gaussian-based framework that unifies multi-modal features in continuous space for 3D object detection and semantic occupancy, reporting gains over BEVFusion and GaussFormer on nuScenes.
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Semantic Occupancy Prediction with Dual Range-Voxel Representation
DRVR uses range-view and geometry-aware voxel-view encoders plus fusion to deliver 5.4% higher mIoU and 2.1x faster inference than multi-sweep baselines on nuScenes-Occupancy from single sweeps.