Active and passive computational imaging for tracking and prediction of three-dimensional MUAV ight paths

摘要

Micro unmanned aerial vehicles (MUAV) have become increasingly popular during the last decade due to theiraccess to a wide consumer market. With the increasing number of MUAV, the unintended and intended misuseby ying close to sensitive areas has risen as a potentially increasing risk. To counter this threat, surveillancesystems are under development which will monitor the MUAV ight behavior. In this context, the reliabletracking and prediction of the MUAV ight 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 performa tracking of the three dimensional (3D) ight path. We evaluate the analysis of di erent imaging methodsperformed with active laser detection as well as with passive imaging using advanced scenario analysis. In rstexperimental investigation, we recorded and analyzed image sequences of a MUAV quad-copter ying at lowaltitude in laboratory and in outdoor scenario. Our results show, that we are able to track the three dimensionalight path with high accuracy and we are able to give a reliable prediction of the MUAV ight behavior withinthe near future.