ABSTRACT The 4D mmWave radar point clouds are extremely sparse and noisy, which limits their geometric expressiveness for radar‐based 3D object detection. To solve the problem, a dual‐view radar reconstruction framework is proposed to simultaneously generate a bird's‐eye‐view occupancy map and a perspective depth map from raw radar measurements. The two complementary views are back‐projected and fused into a dense pseudo point cloud under cross‐view geometric consistency. A multi‐cloud fusion ne