@inproceedings{b196bfb8177c400e909bba1f059bf788,
title = "Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor",
abstract = "Cyber Physical Systems are often used in the automotive industry as embedded systems for constructing Advanced Driver Assistance Systems. Further development of current applications and the creation of new applications for vehicle and mobile platforms that are based on sensor fusion are essential for the future. While ADAS are used to actively participate in the controlling a vehicle, they can also be used to control mobile platforms in industry. In the article, the results of tests of different rates of data acquisition from Hall sensors to measure speed for mobile platform are presented. The purpose of the research was to determine the optimal platform parameter to indicate the refresh frequency in such a way that the measurements obtained from a Hall sensor will be reliable and will require less of the available computing power. Additionally, the results from investigations of the precise movement for a specified distance using a Hall sensor for a mobile platform are presented.",
keywords = "ADAS, CPS, Data acquisition, Hall sensor, Sensor fusion",
author = "Adam Ziebinski and Markus Bregulla and Marcin Fojcik and Sebastian K{\l}ak",
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\_24",
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 = "249--259",
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",
}