Fusing Multi-Modality Information for 3D Road Obstacle Detection

Considerable resources have been devoted to developing self-driving systems in industry and academia, for which three-dimensional object detection is critical. The commonly used LiDAR-based methods, in which point clouds serve as the input representation, are marred by the problems of sparsity and inhomogeneity, which make small or distant objects difficult to detect. Accordingly, we propose a LiD...