A Conceptual Modeling Approach for Risk Assessment and Mitigation in Collision-Free UAV Routing Planning for Beyond-the-Visual-Line-of-Sight Flights
Abstract: The domain of beyond-the-visual-line-of-sight (BVLOS) flights of unmanned aerial vehicles (UAVs) has unique navigational challenges such as the reliable estimation, evaluation and mitigation of the risk of the associated flight paths. To tackle these challenges domain data from heterogeneous sources is needed. Failing to integrate this data carefully could result in inaccurate navigation decisions, poor situational awareness, and in general unsafe flight operations. In this paper we present a conceptual model that can be used to design conceptual graph databases that integrate the information of several domains to BVLOS. Furthermore, we show that our proposed conceptual graph database schema scales well for increasing sizes of stored domain and application data and permits constant query execution times for important recurring queries.
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