SGM-MDE: Semi-global optimization for classification-based monocular depth estimation
Vlad-Cristian Miclea,Sergiu Nedevschi,Vlad-Cristian Miclea,Sergiu Nedevschi
Depth estimation plays a crucial role in robotic applications that require environment perception. With the introduction of convolutional neural networks, monocular depth estimation (MDE) methods have become viable alternatives to LiDAR and stereo reconstruction-based solutions. Such methods require less equipment, fewer resources and do not need additional sensor alignment requirements. However, ...
