Onboard pattern recognition for autonomous UAV landing

Chen-Ko Sung; Florian Segor

doi:10.1117/12.929646

15 October 2012 Onboard pattern recognition for autonomous UAV landing

Chen-Ko Sung, Florian Segor

Proceedings Volume 8499, Applications of Digital Image Processing XXXV; 84991K (2012) https://doi.org/10.1117/12.929646
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

The civil security and supervision system AMFIS was developed at the Fraunhofer IOSB as a mobile support system using multiple UAVs for rescue forces in accidents or disasters. To gain a higher level of autonomy for these UAVs, different onboard process chains of image exploitation for tracking landmarks and of control technologies for UAV navigation were implemented and examined to achieve a redundant and reliable UAV precision landing. First experiments have allowed to validate the process chains and to develop a demonstration system for the tracking of landmarks in order to prevent and to minimize any confusion on landing.

Citation Download Citation

Chen-Ko Sung and Florian Segor "Onboard pattern recognition for autonomous UAV landing", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84991K (15 October 2012); https://doi.org/10.1117/12.929646

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