Resource Efficient and Accurate Altitude Conversion to Mean Sea Level

Brian Julian, Michael Angermann

Abstract:	Abstract—In this paper we present a novel approach to efficiently and accurately convert altitudes to Mean Sea Level in real-time on resource limited devices, such as phones and wearables. The conversions are valid worldwide and do not require a network connection. We first discuss using a composite image to store on disk a spherical projection of an equirectangular map provided by the National Geospatial-Intelligence Agency. We then discuss creating an optimal image for our application, followed by using a least-recently-used cache to reduce volatile memory usage. An implementation of our work will be open-sourced and natively part of upcoming Android framework releases. It will also be available as a Jetpack library to support applications running on older API levels. Index Terms—Geophysical measurements, geophysical image processing, projection algorithms, digital representation, mobile computing
Published in:	2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) April 24 - 27, 2023 Hyatt Regency Hotel Monterey, CA
Pages:	1256 - 1262
Cite this article:	Julian, Brian, Angermann, Michael, "Resource Efficient and Accurate Altitude Conversion to Mean Sea Level," 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, April 2023, pp. 1256-1262. https://doi.org/10.1109/PLANS53410.2023.10140105
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