In recent years, thanks to the advancement in the 3D sensing technology enables robotics to use high precision depth information without affecting illumination. In fact, for mobile robots that is crucial because mobile robots need to identify their surroundings to carry out some specific tasks. In our project, we aim to develop a novel 3D object detection and classification method that can work with sparse 3D point cloud data.