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Quantitative product safety : foundation of behavioral safety for autonomous driving / Andreas Amoroso.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Amoroso, Andreas, author.
Series:
Intelligent Technologies and Robotics eBook Collection
Standardized Title:
Quantitative Produktsicherheit. English
Language:
English
German
Subjects (All):
Self-driving cars--Safety measures.
Self-driving cars.
Product safety.
Automation.
Electronic circuit design.
Physical Description:
1 online resource (xiv, 146 pages) : illustrations (some color).
Edition:
1st ed. 2025.
Other Title:
Foundation of behavioral safety for autonomous driving
Place of Publication:
Berlin, Germany : Springer Berlin Heidelberg : Imprint: Springer, 2025.
Summary:
The development of autonomous driving systems mandatorily requires solving two tasks: A promising implementation must be developed. Its safety must be demonstrated before it is placed on the market. The prerequisite for solving the second task is a profound understanding of the large area of product safety. In order to develop this, both a suitable nomenclature and a taxonomy are proposed for the first time. These form the basis for further considerations on the question of product validation, which show that the possibilities in this respect are very limited. Based on this interim result, the concepts of quantitative behavioral and product safety are derived and proposed, which demonstrably form the only possible foundation of any safety argumentation for autonomous vehicles. The former task, namely the design of promising implementation, is deliberately omitted. Complementary considerations, hopefully sparking new drive and at least regarded as helpful, are reserved for a separate book, which is in preparation.
Contents:
Introduction
Definitions
Status quo and objectives
Product safety
Operational safety
Behavioral safety
Summary and outlook
Bibliography.
Notes:
Includes bibliographical references.
Description based on publisher supplied metadata and other sources.
ISBN:
9783662714843
OCLC:
1534808192

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