Gerdes, Arati (2006) Automatic Maneuver Recognition in the Automobile: the Fusion of Uncertain Sensor Values using Bayesian Models. In: Proceedings of the 3rd International Workshop on Intelligent Transportation (WIT 2006), Seiten 129-133. 3rd International Workshop on Intelligent Transportation (WIT 2006), 2006-03-14 - 2006-03-15, Hamburg, Deutschland.
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Kurzfassung
A probabilistic system for automatic driving maneuver recognition from CAN-Bus and sensor data is in development at the German Aerospace Center (DLR). Major obstacles to automatic maneuver recognition in the automobile today are presented by the wide variety of styles in which driving maneuvers are performed and the high degree of uncertainty present in the sensor data. Traditional rule-based systems are ill-equipped to deal with these problems. Instead, Bayesian models, which offer a solid, theoretical framework for the derivation of inferences from uncertain evidence, are used for the inference of the driving maneuver being performed. Driver behavior analysis and tests of a prototype maneuver-recognition system are performed in real traffic using the ViewCar, a research vehicle equipped with cameras and sensors to measure and record CAN-Bus, environment and driver data. Experiments with the prototype system yield a driving maneuver recognition rate of approximately 92%.
elib-URL des Eintrags: | https://elib.dlr.de/22833/ | ||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag, Paper) | ||||||||
Titel: | Automatic Maneuver Recognition in the Automobile: the Fusion of Uncertain Sensor Values using Bayesian Models | ||||||||
Autoren: |
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Datum: | 24 Januar 2006 | ||||||||
Erschienen in: | Proceedings of the 3rd International Workshop on Intelligent Transportation (WIT 2006) | ||||||||
Referierte Publikation: | Ja | ||||||||
Open Access: | Ja | ||||||||
Gold Open Access: | Nein | ||||||||
In SCOPUS: | Nein | ||||||||
In ISI Web of Science: | Nein | ||||||||
Seitenbereich: | Seiten 129-133 | ||||||||
Status: | veröffentlicht | ||||||||
Stichwörter: | Bayesian Networks, probabilistic methods, driving maneuver recognition | ||||||||
Veranstaltungstitel: | 3rd International Workshop on Intelligent Transportation (WIT 2006) | ||||||||
Veranstaltungsort: | Hamburg, Deutschland | ||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||
Veranstaltungsbeginn: | 14 März 2006 | ||||||||
Veranstaltungsende: | 15 März 2006 | ||||||||
Veranstalter : | Hamburg University of Technology | ||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||
HGF - Programm: | Verkehr | ||||||||
HGF - Programmthema: | V SH - Verbesserung der Sicherheit im Verkehr (alt) | ||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||
DLR - Forschungsgebiet: | V SH - Verbesserung der Sicherheit im Verkehr | ||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Entwicklung Fahrermodell (alt) | ||||||||
Standort: | Braunschweig | ||||||||
Institute & Einrichtungen: | Institut für Verkehrssystemtechnik > Institut für Verkehrsführung und Fahrzeugsteuerung > Automotive Systeme | ||||||||
Hinterlegt von: | Gerdes, Arati | ||||||||
Hinterlegt am: | 20 Mär 2006 | ||||||||
Letzte Änderung: | 24 Apr 2024 19:04 |
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