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

Adam Ziebinski; Markus Bregulla; Marcin Fojcik; Sebastian Kłak

doi:10.1007/978-3-319-67077-5_24

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

Adam Ziebinski
, Markus Bregulla
, Marcin Fojcik
, Sebastian Kłak

Department of Distributed Systems and Informatic Devices (RAU/RAU8)

Technische Hochschule Ingolstadt
Western Norway University of Applied Sciences
Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

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.

Original language	English
Title of host publication	Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings
Editors	Piotr Jedrzejowicz, Gottfried Vossen, George A. Papadopoulos, Ngoc Thanh Nguyen, Bogdan Trawinski
Publisher	Springer Verlag
Pages	249-259
Number of pages	11
ISBN (Print)	9783319670768
DOIs	https://doi.org/10.1007/978-3-319-67077-5_24
Publication status	Published - 2017
Event	9th International Conference on Computational Collective Intelligence, ICCCI 2017 - Nicosia, Cyprus Duration: 27 Sept 2017 → 29 Sept 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10449 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Computational Collective Intelligence, ICCCI 2017
Country/Territory	Cyprus
City	Nicosia
Period	27/09/17 → 29/09/17

Keywords

ADAS
CPS
Data acquisition
Hall sensor
Sensor fusion

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-67077-5_24

Cite this

Ziebinski, A., Bregulla, M., Fojcik, M., & Kłak, S. (2017). Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor. In P. Jedrzejowicz, G. Vossen, G. A. Papadopoulos, N. T. Nguyen, & B. Trawinski (Eds.), Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings (pp. 249-259). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10449 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-67077-5_24

Ziebinski, Adam ; Bregulla, Markus ; Fojcik, Marcin et al. / Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor. Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. editor / Piotr Jedrzejowicz ; Gottfried Vossen ; George A. Papadopoulos ; Ngoc Thanh Nguyen ; Bogdan Trawinski. Springer Verlag, 2017. pp. 249-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@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",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Piotr Jedrzejowicz and Gottfried Vossen and Papadopoulos, \{George A.\} and Nguyen, \{Ngoc Thanh\} and Bogdan Trawinski",

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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 P Jedrzejowicz, G Vossen, GA Papadopoulos, NT Nguyen & B Trawinski (eds), Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10449 LNAI, Springer Verlag, pp. 249-259, 9th International Conference on Computational Collective Intelligence, ICCCI 2017, Nicosia, Cyprus, 27/09/17. https://doi.org/10.1007/978-3-319-67077-5_24

Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor. / Ziebinski, Adam; Bregulla, Markus; Fojcik, Marcin et al.
Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. ed. / Piotr Jedrzejowicz; Gottfried Vossen; George A. Papadopoulos; Ngoc Thanh Nguyen; Bogdan Trawinski. Springer Verlag, 2017. p. 249-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10449 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor

AU - Ziebinski, Adam

AU - Bregulla, Markus

AU - Fojcik, Marcin

AU - Kłak, Sebastian

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - ADAS

KW - CPS

KW - Data acquisition

KW - Hall sensor

KW - Sensor fusion

UR - https://www.scopus.com/pages/publications/85030852355

U2 - 10.1007/978-3-319-67077-5_24

DO - 10.1007/978-3-319-67077-5_24

M3 - Conference contribution

AN - SCOPUS:85030852355

SN - 9783319670768

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 249

EP - 259

BT - Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings

A2 - Jedrzejowicz, Piotr

A2 - Vossen, Gottfried

A2 - Papadopoulos, George A.

A2 - Nguyen, Ngoc Thanh

A2 - Trawinski, Bogdan

PB - Springer Verlag

T2 - 9th International Conference on Computational Collective Intelligence, ICCCI 2017

Y2 - 27 September 2017 through 29 September 2017

ER -

Ziebinski A, Bregulla M, Fojcik M, Kłak S. Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor. In Jedrzejowicz P, Vossen G, Papadopoulos GA, Nguyen NT, Trawinski B, editors, Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. Springer Verlag. 2017. p. 249-259. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-67077-5_24

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

Abstract

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Keywords

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