Autonomous Landing of a Drone Using Smart Vision
Taylor Ripke · International Journal of Engineering Research and · 2018
A key facet of ongoing research in unmanned aerial vehicles (UAVs) is the capability to perform an autonomous landing without human intervention using onboard sensors and vision. This paper presents a detailed autonomous landing approach sequence for a UAV consisting of two components: target localization and relative positioning. The first step involves locating the target using thresholding and image segmentation. Finally, the drone is moved to the target location and position is maintained and altitude decreased through the use of a proportional, integral, and derivative (PID) controller. The system was implemented in python 2.7.12 using the AR.Drone 2.0 with the PS-Drone [1] flight controller.