Low cost positioning by matching altitude readings with crowd-sourced route data

Sharmistha Chatterjee, Jukka K. Nurminen, Matti Siekkinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

Detecting and tracking the position of a mobile user is an increasingly important feature in many mobile applications. In this work we study how cheap and energy-efficient air pressure sensors measuring the altitude could be used, as a complement to the dominant GPS system. The cornerstone of our approach is that a huge amount of route data, collected with GPS devices, is available in various cloud services. The location detection and route tracking task thus becomes a question of matching the collected altitude traces with the altitude curves of stored data to find the best matching routes. Here we build a prototype system of crowd-sourced database containing only altitude data. How accurately this stored altitude data could be matched with the collected altitude traces is the key question of our study. © 2012 ACM.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia - MoMM '12
Place of PublicationNew York, New York, USA
PublisherAssociation for Computing Machinery ACM
Pages169
ISBN (Print)978-1-4503-1307-0
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible

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Chatterjee, S., Nurminen, J. K., & Siekkinen, M. (2012). Low cost positioning by matching altitude readings with crowd-sourced route data. In Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia - MoMM '12 (pp. 169). Association for Computing Machinery ACM. https://doi.org/10.1145/2428955.2428990