Title :
Analysis of visual correlation-extreme methods of UAV navigation
Author :
Mukhina, M.P. ; Demchenko, D.M.
Author_Institution :
Aviation Comput.-Integrated Complexes Dept., Nat. Aviation Univ., Kiev, Ukraine
Abstract :
The formalized problem statement of images comparison for visual correlation-extreme navigation of unmanned aerial vehicles is considered. The key point of correlation-extreme methods used in visual navigation is correct feature detection possible in real time. The analysis results in the selection of SURF (Speed Up Robust Features) method approved by various tests.
Keywords :
autonomous aerial vehicles; robot vision; SURF method; UAV navigation; feature detection; images comparison; speed up robust features method; unmanned aerial vehicles; visual correlation-extreme navigation; visual navigation; Brightness; Feature extraction; Satellite broadcasting; Satellite navigation systems; Satellites; Visualization; Speed Up Robust Features method; correlation-extreme navigation;
Conference_Titel :
Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD), 2013 IEEE 2nd International Conference
Conference_Location :
Kiev
Print_ISBN :
978-1-4799-3305-1
DOI :
10.1109/APUAVD.2013.6705329
