caa a22 4500 445839961 CHVBK 20180317145340.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s00186-011-0366-1 doi (NATIONALLICENCE)springer-10.1007/s00186-011-0366-1 Babel Luitpold Fakultät Betriebswirtschaft, WE Mathematik und Informatik, Universität der Bundeswehr, Munich, Germany aut Trajectory planning for unmanned aerial vehicles: a network optimization approach [Elektronische Daten] [Luitpold Babel] This paper presents a new approach for trajectory planning of air vehicles. It considers scenarios with risk areas and forbidden zones and takes into account the maneuverability of the air vehicle. It is flexible as to allow different kinds of objective functions such as minimizing risk, flight path length or flight time, and allows to implement constraints on fuel consumption or other resources. Additionally, it can incorporate waypoints to be passed by the air vehicle with or without specified overflight directions. The method includes planning of one-way and return trips. The underlying model is based on a discretization of the airspace into a non-regular network. Every path in the network corresponds to a flyable trajectory which means that the trajectory is within the performance limits of the air vehicle. The generation of the network is done non-deterministically. One of the main benefits of the model is that one can make use of standard network optimization techniques. Springer-Verlag, 2011 Flight path optimization nationallicence Route planning nationallicence Aircraft trajectory nationallicence Shortest path problem nationallicence Network optimization nationallicence Mathematical Methods of Operations Research Springer-Verlag 74/3(2011-12-01), 343-360 1432-2994 74:3<343 2011 74 186 https://doi.org/10.1007/s00186-011-0366-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00186-011-0366-1 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Babel Luitpold Fakultät Betriebswirtschaft, WE Mathematik und Informatik, Universität der Bundeswehr, Munich, Germany aut NATIONALLICENCE 773 0- Mathematical Methods of Operations Research Springer-Verlag 74/3(2011-12-01), 343-360 1432-2994 74:3<343 2011 74 186 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer