Quantitative Product Safety

The development of autonomous driving systems mandatorily requires solving two tasks:

1. A promising implementation must be developed.

2. 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.

   Provides nomenclature and taxonomy of product safety Presents investigation of options for product validation, including statistical approaches Gives product safety as the only possible basis of the safety argument for autonomous driving

   Autorentext

Dr.-Ing. Andreas Amoroso, currently employed in the area of safety engineering by a leading automotive supplier, has been collaborating on the ISO standards ISO 26262 FSM and ISO 21448 SOTIF since 2015. He studied electrical engineering with a focus on digital technology and completed his doctorate on a simple formal system for the analysis and design of assemblages of asynchronous sequential control circuits.

Inhalt

Introduction.- Definitions.- Status quo and objectives.- Product safety.- Operational safety.- Behavioral safety.- Summary and outlook.- Bibliography.