Machine Learning for Visual Navigation and Localization

Navigation and localization are principal challenges in Robot Vision, where the task is to estimate the geometric relation between a vehicle and its environment, either passively in a virtual model or actively through controlling the robot.

Computer visionLocalization at sea using a 360 camera and deep learning for horizon matching.In the active case, the vehicle pose needs to be estimated in real-time, which is achieved by online learning of vision-based regression. To achieve this, problem knowledge and suitable visual representations are combined using machine learning.

Application scenario within WASP where the developed code has been used for people tracking:





WASP research at CVL