نبذة مختصرة : V tem delu smo implementirali postopek, s katerim lahko kvadrokopter Parrot AR.Drone sledi premikajočemu se objektu. Temelji na razvojnem okolju ROS. Uporabili smo platformo iRobot Roombo, nanjo nalepili oznako in jo vozili po prostoru, kvadrokopter pa se je moral ves čas držati čim bolj točno nad njo. Kvadrokopter je oznako zaznaval s pomočjo sprednje kamere, krmiljenje pa je bilo izvedeno s krmilnikom PID. Nalogo smo ovrednotili s tremi različnimi eksperimenti. Najprej smo ovrednotili kako natančna je naša metoda ocenjevanja višine kvadrokopterja v primerjavi s privzetim načinom. Nato smo ovrednotili kako natančno in robustno se zna kvadrokopter držati nad mirujočo oznako. Nazadnje smo ovrednotili še natančnost in robustnost pri premikajoči se oznaki. Rezultati kažejo, da lahko z uporabo sistema implementiranega v tej nalogi kvadrokopter precej bolj stabilno lebdi nad oznako in ocenjuje razdaljo do nje, v primerjavi s privzetimi metodami, ki so vgrajene v Parrot AR.Drone. ; In this thesis we implemented a system, which Parrot AR.Drone can use to track a moving target. The system is based on ROS. We used an iRobot Roomba as the target, put a marker on top of it, and drove it around. The drone's goal was to stay as directly as possible above the target. The drone tracked the marker using its front camera. Its movement was controlled by PID controllers. We conducted three experiments to evaluate the system. First we evaluated how accurate our method of determining the drone's height was, compared to its default method. Then how accurately and robustly the drone can hover over a stationary target. Lastly, we evaluated the accuracy and robustness of the drone hovering over a moving target. The results show that our system allows the drone to hover much more reliably over the marker, compared to its default stabilization methods. The system also provides a better means of estimating the distance of the drone from the marker, compared to the built-in sonar.
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