A case study in uncertainty quantification of UAS behaviours against operational requirements

The integration of Unmanned Aircraft Systems (UAS) into the national airspace will require the assessment risks for regulation and also for insurance purposes. This assessment can be conducted using quantitative methods that provide key information about the safety risk and performance of UAS to different decision makers. In this paper, we present a case study of a probabilistic assessment of robust autonomy based on a framework previously introduced in the literature. In particular, we consider the performance of a commercial autopilot software on a multi-rotor platform. We conduct our analysis using data from a process-in-the-loop experimental set up motivated by an agricultural operation.