Unsupervised Learning of Monocular Depth and Ego-Motion in Outdoor/Indoor Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151629
Abstract: Visual-based unsupervised learning [1]–[3] has emerged as a promising approach in estimating monocular depth and ego-motion, avoiding intensive efforts on collecting and labeling the ground truth. However, they are still restrained by the brightness constancy… read more here.
Keywords: ego motion; monocular depth; depth ego; depth ... See more keywords
Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3137895
Abstract: A thermal camera can robustly capture thermal radiation images under harsh light conditions such as night scenes, tunnels, and disaster scenarios. However, despite this advantage, neither depth nor ego-motion estimation research for the thermal camera… read more here.
Keywords: ego motion; consistency loss; depth ego; consistency ... See more keywords
Adversarial Learning for Joint Optimization of Depth and Ego-Motion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2968751
Abstract: In recent years, supervised deep learning methods have shown a great promise in dense depth estimation. However, massive high-quality training data are expensive and impractical to acquire. Alternatively, self-supervised learning-based depth estimators can learn the… read more here.
Keywords: optimization; depth ego; depth; ego motion ... See more keywords