The core message of this work is that exploiting a well-trained 2D object detector can significantly improve the performance of roadside monocular 3D object detection.
CoBEV, a novel end-to-end monocular 3D object detection framework, seamlessly integrates complementary depth and height cues to construct robust BEV representations, elevating traffic scene understanding.