£108.38

Springer - Algorithm Concept for Crash Detection in Cars

Name: Springer - Algorithm Concept for Crash Detection in Cars
Brand: Springer
Price: 108.38 GBP
Availability: InStock

Algorithms

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Description

Modern passenger vehicles rely on state-of-the-art airbag algorithms to decide when to fire restraint systems. These systems typically work by evaluating the deceleration of the entire vehicle during the single events of an accident. However, as consumer test organizations and global legislators increase their requirements, the need for more precise data grows. Current vehicle algorithms can only determine the nature and direction of a crash to a limited extent. In this book, Andre Leschke presents a completely different algorithm concept designed to solve these specific limitations. By moving beyond simple vehicle deceleration, this work offers a new approach to understanding crash dynamics. This text is a valuable resource for those studying advanced programming algorithms and automotive safety systems, providing a technical look at how next-generation detection methods can improve vehicle safety performance.

Key Features

Explores new algorithm concepts for passenger car crash detection to improve restraint system accuracy.

Addresses the limitations of current vehicle algorithms regarding crash nature and direction.

Provides technical insights into meeting the rising requirements of global legislators and consumer test organizations.

Offers a specialized perspective on evaluating vehicle deceleration during accident events.

Written by Andre Leschke to provide a different approach to existing automotive safety technology.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3658293942
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 20 March 2021
Listed Since: 20 February 2021

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Springer - Algorithm Concept for Crash Detection in Cars

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