Spatiotemporal ground risk mapping for uncrewed aircraft systems operations

Pilko, Aliaksei, Sobester, Andras, Scanlan, James P. and Ferraro, Mario (2023) Spatiotemporal ground risk mapping for uncrewed aircraft systems operations. Journal of Aerospace Information Systems, 20 (3), 126-139. (doi:10.2514/1.I011113).

Record type: Article

Abstract

In this paper we propose the use of spatiotemporal population density data in the analysis of ground risk posed by uncrewed aircraft system (UAS) operations. The spatiotemporal population density maps are generated through the combination of authoritative data sources, open source geospatial databases, and past works to dynamically classify proportions of a population to their expected daily activities based upon a given time. This adds a further dimension to analysis allowing evaluation and optimization of ground risk, both spatially and temporally. This approach is used to analyze the ground risk posed under ballistic and gliding descents of a parameterized UAS along a case study path. An open source tool is implemented as part of this work to aid the decision making of operators and promote safer UAS operations.

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Accepted/In Press date: 28 December 2022

e-pub ahead of print date: 25 January 2023

Published date: 3 March 2023

Additional Information: Funding Information: This work is funded by the Engineering and Physical Sciences Research Council as part of the E-Drone project under grant number EP/V002619/1 and CASCADE project under grant number EP/ R009953/1. Publisher Copyright: © 2023 by the authors.