Channel Boosting Feature Ensemble for Radar-based Object Detection

Overview

The approach formulates radar object detection as set prediction using channel-boosted features and a transformer encoder–decoder. Public-dataset evaluations compare detection under favorable and adverse weather as a complementary perception modality.