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Found 2 papers, 2 papers with code
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images
To address this limitation, we propose a novel 3D object detection model, P2D (Predict to Detect), that integrates a prediction scheme into a detection framework to explicitly extract and leverage motion features.
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
Autonomous driving requires an accurate and fast 3D perception system that includes 3D object detection, tracking, and segmentation.
Ranked #2 on
3D Multi-Object Tracking
on nuscenes Camera-Radar
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