2018
UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
IROS 2018poster
This paper presents a deep network based unsupervised visual odometry system for 6-DoF camera pose estimation and finding dense depth map for its monocular view. The proposed network is trained using unlabeled binocular stereo image pairs and is shown to provide superior performance in depth and ego…