Spatiotemporal ground risk mapping for uncrewed aerial systems operations

Pilko, Aliaksei, Sobester, Andras, Scanlan, James and Ferraro, Mario (2021) Spatiotemporal ground risk mapping for uncrewed aerial systems operations. AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum 2022), , San Diego, United States. 03 - 07 Jan 2022. (doi:10.2514/6.2022-1915).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we propose the use of spatiotemporal population density data in the analysis of ground risk posed by UAS (Uncrewed Aerial System) 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 optimisation of ground risk, both spatially and temporally. This approach is used to analyse 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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