Camera-based In-time Detection of Intruder Aircraft

Konferenz: CNNA 2018 - The 16th International Workshop on Cellular Nanoscale Networks and their Applications
28.08.2018 - 30.08.2018 in Budapest, Hungary

Tagungsband: CNNA 2018

Seiten: 4Sprache: EnglischTyp: PDF

Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt

Autoren:
Bauer, Peter; Bokor, Jozsef (Systems and Control Laboratory and Institute for Computer Science and Control, Hungarian Academy of Sciences, Budapest, Hungary)
Zarandy, Akos; Hiba, Antal (Computational Optical Sensing and Processing Laboratory and Institute for Computer Science and Control, Hungarian Academy of Sciences, Budapest, Hungary)

Inhalt:
This paper is the initiation of work dealing with intruder detectability and avoidability in aircraft sense-and-avoid. It considers dynamic capabilities of a specific own aircraft and real flight test results with two UAVs with homogeneous sky background conditions. From this data it tries to extrapolate detectability results to other intruders and camera systems and makes a basic estimation of avoidance capability.