Exploiting Context and Semantics for UAV Path-finding in an Urban Setting

نویسندگان

  • Marjan Alirezaie
  • Andrey Kiselev
  • Franziska Klügl-Frohnmeyer
  • Martin Längkvist
  • Amy Loutfi
چکیده

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., flight 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.

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تاریخ انتشار 2017