Orthoses, or exoskeletons as they’re more commonly known, are a method to either assist those with reduced mobility in certain parts of their body, or to completely reintroduce function… Read more
Prof. Dario Floreano NCCR Director & Professor Laboratory of Intelligent Systems (LIS) and Management Team, EPFL dario.floreano@epfl.ch +41 21 693 52 30
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The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery
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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.
Posted on: September 10, 2011