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Model based detection and reconstruction of road traffic accidents / / Marcus Hiemer



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Autore: Hiemer Marcus Visualizza persona
Titolo: Model based detection and reconstruction of road traffic accidents / / Marcus Hiemer Visualizza cluster
Pubblicazione: [Place of publication not identified] : , : KIT Scientific Publishing, , 2005
©2005
Descrizione fisica: 1 online resource (225 pages)
Disciplina: 745.5928
Soggetto topico: Models and modelmaking
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: 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.
Titolo autorizzato: Model based detection and reconstruction of road traffic accidents  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910688322303321
Lo trovi qui: Univ. Federico II
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