Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor

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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.

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Ziebinski, A., Bregulla, M., Fojcik, M., & Kłak, S. (2017). Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10449 LNAI, pp. 249–259). Springer Verlag. https://doi.org/10.1007/978-3-319-67077-5_24

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