Horizon3D uses Gaussian primitives, sparse BEV features, and dual-path temporal fusion to achieve +3.0 NDS and +1.6 mAP gains over prior radar-camera 3D detection methods on TruckScenes.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Horizon3D: Sparse Radar-Camera Fusion for Long-Range 3D Perception in Autonomous Driving
Horizon3D uses Gaussian primitives, sparse BEV features, and dual-path temporal fusion to achieve +3.0 NDS and +1.6 mAP gains over prior radar-camera 3D detection methods on TruckScenes.