Algorithm Concept for Crash Detection in Passenger Cars (Record no. 76455)

000 -LEADER
fixed length control field 03672nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-658-29392-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214532.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200318s2020 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783658293925
-- 978-3-658-29392-5
082 04 - CLASSIFICATION NUMBER
Call Number 629.2
100 1# - AUTHOR NAME
Author Leschke, André.
245 10 - TITLE STATEMENT
Title Algorithm Concept for Crash Detection in Passenger Cars
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXXIV, 271 p. 157 illus., 56 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection -- Model Proposal for the Description of Threshold-based Algorithms -- Simulation Model for Component-specific Local Loading -- New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases.
520 ## - SUMMARY, ETC.
Summary, etc State-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accident’s severity. Contents State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection Model Proposal for the Description of Threshold-based Algorithms Simulation Model for Component-specific Local Loading New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases Target Groups Scientists and students in the field of automotive and mechanical engineering Engineers working in industrial research and development of vehicle safety About the Author Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-658-29392-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Wiesbaden :
-- Springer Fachmedien Wiesbaden :
-- Imprint: Springer Vieweg,
-- 2020.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automotive engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer simulation.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automotive Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Modelling.
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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