Algorithm Concept for Crash Detection in Passenger Cars

Authors: Leschke, André

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  • Vehicle deformation as a possible indicator of crash severity

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About this book

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.

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.

About the authors

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.

Table of contents (15 chapters)

Table of contents (15 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-658-29392-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $149.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Algorithm Concept for Crash Detection in Passenger Cars
Authors
Copyright
2020
Publisher
Springer Vieweg
Copyright Holder
Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
eBook ISBN
978-3-658-29392-5
DOI
10.1007/978-3-658-29392-5
Hardcover ISBN
978-3-658-29391-8
Edition Number
1
Number of Pages
XXXIV, 271
Number of Illustrations
101 b/w illustrations, 56 illustrations in colour
Topics