The teleoperation of unmanned aerial vehicles (UAVs) has traditionally been performed using joystick controllers and relying on the direct perception of the operator. However, the evolution of extended reality (XR) in recent years has allowed for more intuitive control methods while providing various features and additional information about the environment to improve the operator’s decision-making abilities. Although in previous works the advantages of using XR technology for UAV control have been pointed out, extensive further experimentation would be required to objectively compare these new methods. This study aims to fill this research void by presenting an experimental framework with tracks mimicking different disaster scenarios. The successful completion of a track involves both the placement of virtual obstacles related to the test scenario and the traversing of a challenging path. The practical utility of the framework was validated by comparing two essentially different XR-based drone control methods on various tracks based on the built-in performance evaluation metrics.