End-to-end Training of Deep Neural Networks for Monocular Autonomous Navigation - A Feasibility Study KU Leuven
This PhD investigates the feasibility of applying Deep Learning methods to monocular autonomous navigation. Deep Learning has shown impressive results over the last seven years in computer vision, moving from hand crafted algorithms to end-to-end learned models. Whether the same idea of moving from hand crafted algorithms to end-to-end trained deep neural networks is also applicable to monocular navigation is still an open ...