33th Congress of the International Council of the Aeronautical Sciences

10 - Safety and Security

IMAGE SEGMENTATION BASED EMERGENCY LANDING FOR AUTONOMOUS AND AUTOMATED UNMANNED AERIAL VEHICLES

P. Hausmann¹, H. Meeß, Fraunhofer IVI, Germany; G. Elger¹; ¹Technische Hochschule Ingolstadt, Germany

The operation of autonomous unmanned aerial vehicles (UAV) entails serious risks and respective regulations. We have developed an emergency landing operation which aims to offer more security by identifying safe landing spots for both the environment, as well as the drone, using image segmentation.


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