Exploiting Context and Semantics for UAV Path-finding in an Urban Setting
Marjan Alirezaie, Andrey Kiselev, Franziska Klügl, Martin Längkvist, Amy Loutfi · Örebro University Library (Örebro University) · 2017
In this paper we propose an ontology pattern that represents paths in a geo-representation model to be used in an aerial path planning processes. This pattern provides semantics related to constraints (i.e., ight forbidden zones) in a path planning problem in order to generate collision free paths. Our proposed approach has been applied on an ontology containing geo-regions extracted from satellite imagery data from a large urban city as an illustrative example.