@inproceedings{8bc9ecb7c6f34fdf807fa737c7301945,
title = "Using MEMS Sensors to Enhance Positioning When the GPS Signal Disappears",
abstract = "This paper presents the concept of using embedded MEMS sensors position objects especially when the GPS signal is weak, e.g. in underground car parks, tunnels. Such an approach is important for controlling indoor objects or autonomous vehicles. The signals are acquired by a Raspberry Pi platform with external sensors such as an accelerometer, gyroscope and magnetometer. A self-propelled vehicle was used and several exemplary paths were designed for acquiring signals. It was proven that appropriate signal filtering allows a position to be determined with a small error at a constant velocity condition. Comparing filters such as the moving average, median, Savitzky-Golay and Hampel filters were investigated. Moreover, the system offers a high degree of accuracy in a short time for indoor hybrid positioning systems that also have video processing capabilities. The cyber-physical system can also be used with the existing infrastructure in a building, such as Wi-Fi access points and video cameras.",
keywords = "Accelerometer, GPS, Gyroscope, MEMS, Positioning",
author = "Damian Grzechca and Krzysztof Tokarz and Krzysztof Paszek and Dawid Poloczek",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 9th International Conference on Computational Collective Intelligence, ICCCI 2017 ; Conference date: 27-09-2017 Through 29-09-2017",
year = "2017",
doi = "10.1007/978-3-319-67077-5\_25",
language = "English",
isbn = "9783319670768",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "260--271",
editor = "Piotr Jedrzejowicz and Gottfried Vossen and Papadopoulos, \{George A.\} and Nguyen, \{Ngoc Thanh\} and Bogdan Trawinski",
booktitle = "Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings",
address = "Germany",
}