Unmanned aircraft systems (UAS) have been in civil use for several years. A new risk-based approach to approval was developed by the Joint Authorities for Rulemaking of Unmanned Systems (JARUS) which relies on the so-called Specific Operations Risk Assessment (SORA) for the specific category. Operational authorization is based on the assessment using the SORA process, which evaluates the safety of the operation and not solely the aircraft design. However, to comply with the resulting mitigations it is necessary to convince authorities using “Acceptable Means of Compliance” (AMC). The goal of the European research project “AW-Drones” is to identify and assess existing standards as a possible AMC for the existing and upcoming regulations. The research in “AW-Drones” is performed by an international consortium of industry and research agencies. Additional stakeholders support the project, including the European Union Aviation Safety Agency (EASA) and other groups of experts, committees, and Standard Development Organizations (SDOs). In this paper, the approach and methodology to identify possible AMC for the SORA is described, including the current state of work. The results of the data collection step and the assessment are outlined. The used criteria are shown and the impact on the SORA process is discussed. An outlook will detail on remaining tasks. The dissemination of the work in a public database is presented that offers the results on AMC assessment directly to a drone operator.
|Title of host publication||AIAA Scitech 2021 Forum|
|Subtitle of host publication||11–15 & 19–21 January 2021Virtual/online event|
|Publisher||American Institute of Aeronautics and Astronautics Inc. (AIAA)|
|Number of pages||14|
|Publication status||Published - 2021|
|Event||AIAA Scitech 2021 Forum - Virtual/online event due to COVID-19 , Virtual, Online|
Duration: 11 Jan 2021 → 21 Jan 2021
|Name||AIAA Scitech 2021 Forum|
|Conference||AIAA Scitech 2021 Forum|
|Period||11/01/21 → 21/01/21|
Bibliographical noteVirtual/online event due to COVID-19
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