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DOI: 10.5445/KSP/1000001370
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Model based detection and reconstruction of road traffic accidents

Hiemer, Marcus

This thesis describes the detection and reconstruction of traffic accidents with event data recorders.
The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.
Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters.
The methodologies presented may lead from accident reconstruction considered here to accident avoidance.

Zugehörige Institution(en) am KIT Institut für Industrielle Informationstechnik (IIIT)
Publikationstyp Hochschulschrift
Jahr 2005
Sprache Englisch
Identifikator ISBN: 3-937300-34-1
URN: urn:nbn:de:0072-13707
KITopen-ID: 1000001370
Verlag Universitätsverlag Karlsruhe, Karlsruhe
Umfang IV, 225 S.
Abschlussart Dissertation
Fakultät Fakultät für Elektrotechnik und Informationstechnik (ETIT)
Institut Institut für Industrielle Informationstechnik (IIIT)
Prüfungsdaten 05.10.2004
Referent/Betreuer Prof. U. Kiencke
Schlagworte Modelling, Side Slip Angle, Accident Reconstruction, Accident Detection
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