Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Decomposition and Modeling of the Situational Awareness of Unmanned Aerial Vehicle for Advanced Air Mobility

Version 1 : Received: 15 June 2023 / Approved: 16 June 2023 / Online: 16 June 2023 (12:38:40 CEST)

A peer-reviewed article of this Preprint also exists.

Kamkuimo, S.A.; Magalhaes, F.; Zrelli, R.; Misson, H.A.; Attia, M.B.; Nicolescu, G. Decomposition and Modeling of the Situational Awareness of Unmanned Aerial Vehicles for Advanced Air Mobility. Drones 2023, 7, 501. Kamkuimo, S.A.; Magalhaes, F.; Zrelli, R.; Misson, H.A.; Attia, M.B.; Nicolescu, G. Decomposition and Modeling of the Situational Awareness of Unmanned Aerial Vehicles for Advanced Air Mobility. Drones 2023, 7, 501.

Abstract

The use of unmanned aerial aircrafts (UAVs) is governed by strict regulatory frameworks that prioritize safety. To guarantee safety, it is necessary to acquire and maintain situational awareness (SA) throughout the operation. Existing Canadian regulations require pilots to operate their aircrafts in visual line-of-sight. Therefore, the task of acquiring and maintaining SA primary falls to the pilots. However, the development of aerial transport is entering a new era with the adoption of a highly dynamic and complex system known as advanced air mobility (AAM), which involves UAV operating autonomously beyond visual line-of-sight. SA must therefore be acquired and maintained primarily by each UAV through specific technologies and procedures. In this paper, we review these technologies and procedures in order to decompose the SA of the UAV in the AAM. We then use the system modeling language to provide a high-level structural and behavioral representation of the AAM as a system having UAV as its main entity. In a case study, we analyze one of the flagships UAVs of our industrial partner. Results show that this UAV doesn’t have all the technologies and methodologies necessary to achieve all the identified SA goals identified for the safety of the AAM. This work is a theoretical framework intended to contribute to the realization of the AAM, and we also expect to impact the future design and utilization of UAVs.

Keywords

unmanned aerial vehicle (UAV); drone; situational awareness (SA); advanced air mobility (AAM); beyond visual line-of-sight (BVLOS)

Subject

Computer Science and Mathematics, Software

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