How does a UAV can decide where is best to land and what to expect if landing on a particular material? Here we develop a framework to predict the landing behaviour of a Micro Air Vehicle (MAV) from the visual appearance of the landing surface. We approach this problem by learning a mapping from visual texture observed from an onboard camera to the landing behaviour on a set of sample materials. In this case we exemplify our framework by predicting the yaw angle of the MAV after landing.
- John Bartholomew, Andrew Calway, Walterio Mayol-Cuevas, Predicting Micro Air Vehicle Landing Behaviour from Visual Texture . IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). October 2012. PDF.
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