This paper presents an affordable, fully automated and accurate mapping solutions based on ultra-light UAV imagery. Several datasets
are analysed and their accuracy is estimated. We show that the accuracy highly depends on the ground resolution (flying height) of the
input imagery. When chosen appropriately this mapping solution can compete with traditional mapping solutions that capture fewer
high-resolution images from airplanes and that rely on highly accurate orientation and positioning sensors on board. Due to the careful
integration with recent computer vision techniques, the post processing is robust and fully automatic and can deal with inaccurate
position and orientation information which are typically problematic with traditional techniques.