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Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals

In order to run a localization filter for parking systems in real time, the directional information must be directly available when a distance measurement of the wheel speed sensor is detected. When the vehicle is launching, the wheel speed sensors may already detect distance measurement in the form...

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Detalles Bibliográficos
Autores principales: Brunker, Alexander, Wohlgemuth, Thomas, Frey, Michael, Gauterin, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210404/
https://www.ncbi.nlm.nih.gov/pubmed/30347701
http://dx.doi.org/10.3390/s18103539
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author Brunker, Alexander
Wohlgemuth, Thomas
Frey, Michael
Gauterin, Frank
author_facet Brunker, Alexander
Wohlgemuth, Thomas
Frey, Michael
Gauterin, Frank
author_sort Brunker, Alexander
collection PubMed
description In order to run a localization filter for parking systems in real time, the directional information must be directly available when a distance measurement of the wheel speed sensor is detected. When the vehicle is launching, the wheel speed sensors may already detect distance measurement in the form of Delta-Wheel-Pulse-Counts (DWPCs) without having defined a rolling direction. This phenomenon is particularly problematic during parking maneuvers, where many small correction strokes are made. If a localization filter is used for positioning, the restrained DWPCs cannot process in real time. Without directional information in the form of a rolling direction signal, the filter has to ignore the DWPCs or artificially stop until a rolling direction signal is present. For this reason, methods for earlier estimation of the rolling direction based on the pattern of the incoming DWPCs and based on the force equilibrium have been presented. Since the new methods still have their weaknesses and a wrong estimation of the rolling direction can occur, an extension of a so-called Dual-Localization filter approach is presented. The Dual-Localization filter uses two localization filters and an intelligent initialization logic that ensures that both filters move in opposite directions at launching. The primary localization filter uses the estimated and the secondary one the opposite direction. As soon as a valid rolling direction signal is present, an initialization logic is used to decide which localization filter has previously moved in the true direction. The localization filter that has moved in the wrong direction is initialized with the states and covariances of the other localization filter. This extension allows for a fast and real-time capability to be achieved, and the accumulated velocity error can be dramatically reduced.
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spelling pubmed-62104042018-11-02 Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals Brunker, Alexander Wohlgemuth, Thomas Frey, Michael Gauterin, Frank Sensors (Basel) Article In order to run a localization filter for parking systems in real time, the directional information must be directly available when a distance measurement of the wheel speed sensor is detected. When the vehicle is launching, the wheel speed sensors may already detect distance measurement in the form of Delta-Wheel-Pulse-Counts (DWPCs) without having defined a rolling direction. This phenomenon is particularly problematic during parking maneuvers, where many small correction strokes are made. If a localization filter is used for positioning, the restrained DWPCs cannot process in real time. Without directional information in the form of a rolling direction signal, the filter has to ignore the DWPCs or artificially stop until a rolling direction signal is present. For this reason, methods for earlier estimation of the rolling direction based on the pattern of the incoming DWPCs and based on the force equilibrium have been presented. Since the new methods still have their weaknesses and a wrong estimation of the rolling direction can occur, an extension of a so-called Dual-Localization filter approach is presented. The Dual-Localization filter uses two localization filters and an intelligent initialization logic that ensures that both filters move in opposite directions at launching. The primary localization filter uses the estimated and the secondary one the opposite direction. As soon as a valid rolling direction signal is present, an initialization logic is used to decide which localization filter has previously moved in the true direction. The localization filter that has moved in the wrong direction is initialized with the states and covariances of the other localization filter. This extension allows for a fast and real-time capability to be achieved, and the accumulated velocity error can be dramatically reduced. MDPI 2018-10-19 /pmc/articles/PMC6210404/ /pubmed/30347701 http://dx.doi.org/10.3390/s18103539 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brunker, Alexander
Wohlgemuth, Thomas
Frey, Michael
Gauterin, Frank
Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals
title Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals
title_full Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals
title_fullStr Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals
title_full_unstemmed Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals
title_short Dual-Bayes Localization Filter Extension for Safeguarding in the Case of Uncertain Direction Signals
title_sort dual-bayes localization filter extension for safeguarding in the case of uncertain direction signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210404/
https://www.ncbi.nlm.nih.gov/pubmed/30347701
http://dx.doi.org/10.3390/s18103539
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