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

Sorelle Audrey Kamkuimo, Felipe Göhring de Magalhães, Rim Zrelli, Henrique Amaral Misson, Maroua Ben Attia and Gabriela Nicolescu

Article (2023)

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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 the 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 UAVs operating autonomously beyond the 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 flagship UAVs of our industrial partner. Results show that this UAV does not have all of the technologies and methodologies necessary to achieve all of the identified SA goals 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.

Uncontrolled Keywords

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

Subjects: 2700 Information technology > 2700 Information technology
Department: Department of Computer Engineering and Software Engineering
Funders: Mitacs
Grant number: MITACS IT12973
PolyPublie URL: https://publications.polymtl.ca/55814/
Journal Title: Drones (vol. 7, no. 8)
Publisher: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/drones7080501
Official URL: https://doi.org/10.3390/drones7080501
Date Deposited: 09 Nov 2023 16:15
Last Modified: 24 Jan 2024 11:20
Cite in APA 7: Kamkuimo, S. A., Göhring de Magalhães, F., Zrelli, R., Misson, H. A., Ben Attia, M., & Nicolescu, G. (2023). Decomposition and Modeling of the Situational Awareness of Unmanned Aerial Vehicles for Advanced Air Mobility. Drones, 7(8), 501-501. https://doi.org/10.3390/drones7080501

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