Prediction Of Muav Flight Behavior From Active And Passive Imaging In Complex Environment

Micro unmanned aerial vehicles (MUAV) have become increasingly popular during the last decade due to their access to a wide consumer market. With the increasing number of MUAV, the unintended and intended misuse areas has risen as a potentially increasing risk. To counter this threat, surveillance systems are under development which will monitor the MUAV flight behavior. In this context, the reliable tracking and prediction of the MUAV flight behavior is crucial to increase the performance of countermeasures. In this paper, we discuss electro-optical computational imaging methods with a focus on the ability to perform a tracking and prediction of the three dimensional (3D) flight path. In first experimental investigation, we recorded and analyzed image sequences of a MUAV quad-copter flying at low altitude in laboratory and in outdoor scenarios. Our results show, that we are able to track the three dimensional flight path with high accuracy and we are able to give a reliable prediction of the MUAV flight behavior within the near future.