Autonomous Landing of Miniature Aerial Vehicles
D. Blake Barber, Stephen R. Griffiths, Timothy W. McLain, Randal W. Beard · Journal of Aerospace Computing Information and Communication · 2007
This paper outlines an approach for automated landing of miniature aerial vehicles (MAVs). A landing algorithm defining the landing flight path as a function of height above ground, and the control strategies for following the path, are described. Two methods are presented for estimating height above ground, one based on barometric pressure measurements and the other utilizing optic-flow measurements. The development of an optic-flow sensor and associated sampling strategies are described. Utilizing estimates of height above ground from barometric pressure and optic-flow measurements, repeated landings were performed with a 1.5 m wingspan MAV. With height above ground estimated from barometric pressure measurements alone, landing errors averaged 7.6 m. When optic flow and barometric pressure measurements were combined to estimate height above ground, the average landing error was only 4.3 m.