Obstacle avoidance by combining background subtraction, optical flow and proximity estimation

For Micro Aerial Vehicles (MAVs), robust obstacle avoidance during flight is a challenging problem because only light weight sensors as monocular cameras can be mounted as payload. With monocular cameras depth perception cannot be estimated from a single view, which means that information has to be estimated by combining images from multiple...

Closing the gap between simulation and reality in the sensor and motion models of an autonomous AR.Drone

This article describes a method to develop an advanced navigation capability for the standard platform of the IMAV indoor competition: the Parrot AR.Drone. Our development is partlybased on simulation, which requires both a re-alistic sensor and motion model. This article de-scribes how a visual map of the indoor environ-ment can be made,...