Model based detection and reconstruction of road traffic accidents

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 behavio...

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Bibliographic Details
Main Author: Hiemer, Marcus (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2005
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Model based detection and reconstruction of road traffic accidents 
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520 |a 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. 
540 |a All rights reserved  |4 http://oapen.org/content/about-rights 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a Side Slip Angle 
653 |a Accident Detection 
653 |a Modelling 
653 |a Accident Reconstruction 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/53661  |7 0  |z DOAB: description of the publication