KIT | KIT-Bibliothek | Impressum | Datenschutz

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

Brunker, A.; Wohlgemuth, T.; Frey, M.; Gauterin, F.

Abstract:
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-Localizatio ... mehr

Open Access Logo


Verlagsausgabe §
DOI: 10.5445/IR/1000087604
Veröffentlicht am 22.01.2019
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1424-8220
urn:nbn:de:swb:90-876046
KITopen-ID: 1000087604
Erschienen in Sensors
Band 18
Heft 10
Seiten Art. Nr.: 3539
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 19.10.2018
Schlagworte Bayes filter, driving state estimation, direction detection, pattern recognition, equilibrium of forces, slope
Nachgewiesen in Web of Science
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page