DROSERA: A DROne Simulation Environment for Risk Assessment

Abstract

The use of Unmanned Aerial Vehicles (UAVs), or drones, appears to be a very effective means for aerial inspection of outdoor infrastructures over large areas and data collection. For these missions to be authorized, drone operators must ensure that flight paths respect a given level of safety with regard to third parties such as population, transportation networks, critical infrastructures, etc. This paper presents a tool (DROSERA) for probabilistic risk assessment of fixed-wing UAV missions. It aims to calculate the probability of getting casualties for people at ground or accidents on transportation networks due to loss of control of an UAV. This tool integrates several models for such probability calculations, from the literature or developed by the authors. New models are presented here such as specific flight termination strategies for risk mitigation (terminal spiral), time of day sensitivity (people and traffic), effect of wind conditions. A synthesis of these models, their integration into the DROSERA tool, required inputs and calculated outputs are presented and illustrated on an example of UAV mission in a semi-urban scenario.

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