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Algorithm concept for crash detectio...

Leschke, Andre.

Algorithm concept for crash detection in passenger cars

Record Type:	Electronic resources : Monograph/item
Title/Author:	Algorithm concept for crash detection in passenger carsby Andre Leschke.
Author:	Leschke, Andre.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2020.
Description:	xxxiv, 271 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	AutomobilesCollision avoidance systems
Online resource:	https://doi.org/10.1007/978-3-658-29392-5
ISBN:	9783658293925$q(electronic bk.)

Algorithm concept for crash detection in passenger cars
Leschke, Andre.

Algorithm concept for crash detection in passenger cars[electronic resource] /by Andre Leschke. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - xxxiv, 271 p. :ill., digital ;24 cm.

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.

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. 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. 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.

ISBN: 9783658293925$q(electronic bk.)

Standard No.: 10.1007/978-3-658-29392-5doiSubjects--Topical Terms:

859777
Automobiles
--Collision avoidance systems

LC Class. No.: TL272.52 / .L473 2020

Dewey Class. No.: 629.276

Algorithm concept for crash detection in passenger cars
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245 1 0 $a Algorithm concept for crash detection in passenger cars $h [electronic resource] / $c by Andre Leschke.
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