8333

7731

كارشناسي ارشد

مخابرات سيستم

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1392

نه،86ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

رسول امير فتاحي، محمدرضا احمدزاده

سعيد صدري

3/10/92

شادرخ سماوي، بهزاد نظري

مهندسي برق و كامپيوتر

ID7731

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

17 Isfahan University of Technology determining The trajectory of UAV using image processing techniques mohammad sabzevari m sabzevary@yahoo com Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor rasoul amirfattahi mohammad reza ahmadzadeAbstract in UAV a significant number of accident happens during the landing phase due toinexperience of pilots or sudden changes in the weather such as wind rain and etc thusautomatic landing system are required to land UAVs safely autolanding system need continuousand precise positioning information and positioning system is one of the key factor of this system three type of sensor are able to give position of UAV absolute sensors GPS radar and laser Radar based tracking is expensive gives away the position of the radar and is prone to jamming However vision sensors are low cost passive and robust to jamming hence motivating their usefor aircraft tracking Thermal infrared camera is recognized as a powerful tool for collecting analyzing and modeling of energy fluxes and temperature variations Optical Auto LandingSystem OALS consists of a pan tilt which is mounted infrared camera and eye safe laser rangefinder to tracking UAVs The tracking data are sent to the trajectory analysis system whichcalculates the target s trajectory position with less than 1 meter accuracy in real time experimentwere performed on real data and algorithm achieved accurate performance in presence of cloudand background clutterKeywords Auto Landing System UAV Moving Object Tracking Segmentation

رسول امير فتاحي، محمدرضا احمدزاده

سعيد صدري

شادرخ سماوي، بهزاد نظري