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.
|Title of host publication||Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia - MoMM '12|
|Place of Publication||New York, New York, USA|
|Publisher||Association for Computing Machinery ACM|
|Publication status||Published - 2012|
|MoE publication type||Not Eligible|
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