An improved geometric priors-based indoor 3D object detection in point clouds for mobile robots
3D object detection is an essential and highly challenging task for unmanned autonomous systems operating in indoor scenes. Current mainstream 3D detection approaches rely on the direct encoding of point cloud coordinates, while neglecting the underlying geometric priors, thereby limiting the expressiveness of learne...