Algorithm Concept for Crash Detection in Passenger Cars (Paperback, 1st ed. 2020)

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. Andre 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. Andre 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.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Release date:	March 2021
First published:	2020
Authors:	Andre Leschke
Dimensions:	210 x 148mm (L x W)
Format:	Paperback
Pages:	271
Edition:	1st ed. 2020
ISBN-13:	978-3-658-29394-9
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Transport technology > Automotive technology > General
LSN:	3-658-29394-2
Barcode:	9783658293949

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