Bastián Muñoz

Learning the Ego-Motion of an Underwater Imaging Sonar: A Comparative Experimental Evaluation of Novel CNN and RCNN Approaches

This research addresses the challenge of estimating the ego-motion of a forward-looking sonar (FLS) through deep neural networks (DNNs) and their application in autonomous underwater robots. Over the last two decades, analytical methods have been developed to perform odometry estimation using FLS da