In recent years, Quadrocopters were widely used as a platform for unmanned aerial vehicle (UAV) researches for many civil applications, due to their great abilities in hovering, vertical takeoff and vertical landing, as well as the simplicity in construction and maintenance. This seminar is the second master thesis presentation which tries to lead the quadrocopter to a predefined location over a predefined pattern placed in an urban outdoor environment and detected by a mono embedded camera.
The presentation reveals the result of applying a visual position estimation algorithm; which depends on detecting scale and rotation-invariant definers in the pattern. It also presents the used model of the quadrocopter and a simulation for the applied control algorithm.