Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat
Matias Mattamala Milad Ramezani Marco Camurri Maurice Fallon Matias Mattamala Milad Ramezani Marco Camurri Maurice Fallon
In dynamic and cramped industrial environments, achieving reliable Visual Teach and Repeat (VT&R) with a single-camera is challenging. In this work, we develop a robust method for non-synchronized multi-camera VT&R. Our contribution are expected Camera Performance Models (CPM) which evaluate the camera streams from the teach step to determine the most informative one for localization during the re...