2 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
Kieran Saunders, Luis J. Manso, George Vogiatzis
In the domain of multi-baseline stereo, the conventional understanding is that, in general, increasing baseline separation substantially enhances the accuracy of depth estimation.…
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
Kieran Saunders, George Vogiatzis, Luis Manso
Current, self-supervised depth estimation architectures rely on clear and sunny weather scenes to train deep neural networks. However, in many locations, this assumption is too str…
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps
Kieran Saunders, George Vogiatzis, Luis J. Manso
Self-supervised monocular depth estimation has been a subject of intense study in recent years, because of its applications in robotics and autonomous driving. Much of the recent w…