3D Object Detection Based on Polar Representation for Better Comprehensive Performances
GARF, a geometry-aware polar BEV framework, is presented for multi-modal 3D object detection, which organizes camera and LiDAR features in a unified polar BEV space, which can represent spatial resolution more compactly and achieve effective feature interaction and consistent geometry supervision.