GA-HF preserves fisheye angular density via polar BEV lifting and attention-based correction to improve 3D detection over Cartesian baselines in low-overlap fisheye-LiDAR configurations.
Occcylindrical: Multi-modal fusion with cylindrical representation for 3d semantic occupancy prediction
3 Pith papers cite this work. Polarity classification is still indexing.
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HiPR improves 3D occupancy prediction by reparameterizing image-to-voxel projections using LiDAR-derived height priors to adapt sampling ranges to scene sparsity and height variations.
TFusionOcc uses a family of Student's t-distribution T-primitives and a T-mixture model for multi-sensor 3D occupancy prediction, reporting state-of-the-art results on nuScenes.
citing papers explorer
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Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups
GA-HF preserves fisheye angular density via polar BEV lifting and attention-based correction to improve 3D detection over Cartesian baselines in low-overlap fisheye-LiDAR configurations.
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Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy
HiPR improves 3D occupancy prediction by reparameterizing image-to-voxel projections using LiDAR-derived height priors to adapt sampling ranges to scene sparsity and height variations.
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TFusionOcc: T-Primitive Based Object-Centric Multi-Sensor Fusion Framework for 3D Occupancy Prediction
TFusionOcc uses a family of Student's t-distribution T-primitives and a T-mixture model for multi-sensor 3D occupancy prediction, reporting state-of-the-art results on nuScenes.