2019
Real-Time Dense Depth Estimation Using Semantically-Guided LIDAR Data Propagation and Motion Stereo
RA-L 2019
In this letter, we present a method for estimating a dense depth map from a sparse LIDAR point cloud and an image sequence. Our proposed method relies on a directionally biased propagation of known depth to missing areas based on semantic segmentation. Additionally, we classify different object boun