An Architecture with Integrated Image Processing for Autonomous Micro Aerial Vehicles

This paper presents an overall MAV design with an integrated camera system. It shows the integration of the camera into the hardware and software architecture and how camera information can be used within the logical design for improving ?ight control. The presented architecture will be tested and evaluated during the International Micro Aerial...

BioMAV: Bio-inspired intelligence for autonomous ?ight

This paper aims to contribute to research on biologically inspired micro air vehicles in two ways: (i) it explores a novel repertoire of behavioral modules which can be controlled through ?nite state machines (FSM) and (ii) elementary movement detectors (EMD) are combined with a center/surround edge detection algorithm to yield improved edge...

PLASE: A Novel Planar Surface Extraction Method for the Autonomous Navigation of Micro-Air Vehicle

A planar surface extraction method is proposed for the indoor navigation of a micro-air vehicle (MAV). The algorithm finds planar clusters from the unorganized pointclouds. This is achieved by implementing a novel approach that first segments the data points into clusters and then each cluster is estimated for its planarity. The method is tested...

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,...