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Title: Prediction based activation of vehicle safety systems : a contribution to improve occupant safety by validation of pre-crash information and crash severity plus restraint strategy prediction
Author(s): Sequeira, Gerald Joy AlphonsoLook up in the Integrated Authority File of the German National Library
Referee(s): Jumar, UlrichLook up in the Integrated Authority File of the German National Library
Granting Institution: Otto-von-Guericke-Universität Magdeburg, Fakultät für Elektrotechnik und Informationstechnik
Issue Date: 2022
Extent: X, 156 Seiten
Type: HochschulschriftLook up in the Integrated Authority File of the German National Library
Type: PhDThesis
Exam Date: 2022
Language: English
Publisher: VDI Verlag, Düsseldorf
Series/Report no.: Fortschriftt-Berichte VDI
URN: urn:nbn:de:gbv:ma9:1-1981185920-976972
Subjects: Predictive Safety System
Contour estimation
Crash Severity prediction
Restraint Strategy prediction
Crash Validation
Abstract: The world of transportation is rapidly changing with the introduction of partial autonomy in vehicles and the race between the manufacturers to produce a fully automated passenger vehicle. In addition, to enhance driving comfort and reduce the driving workload, these automated vehicles are also visualized as an approach to reduce the majority of accidents that are caused by human errors. However, accidents do happen and there are also some likelihoods that these automated vehicles might fail. Especially in the initial introductory years, which highlights the need for passive safety systems in safeguarding the occupants. These vehicles typically employ forward-looking sensors for the perception of the surrounding environment, which presents an opportunity to use the information from these sensors to predict an upcoming inevitable crash and further estimate the passive safety action required for the predicted crash in the pre-crash phase. This work presents an approach to activate the vehicle safety systems based on the precrash prediction. Contents 1 Introduction 1 1.1
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik

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