BioMAV: Bio-inspired intelligence for autonomous flight

Abstract

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 finite state machines (FSM) and (ii) elementary movement detectors (EMD) are combined with a center/ surround edge detection algorithm to yield improved edge information used for object detection. Both methods will be assessed in the context of the IMAV 2011 pylon challenge.