Automated Driving Systems 2 0
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Automated Driving
The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward. The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.
Generating test scenarios for assessing automated driving systems using scenario fusion (Band 28)
This thesis presents the find-unify-synthesize-evaluate for representativity (FUSE4Rep) process model, a novel approach to the safety evaluation of automated driving systems (ADS). Designed to make road traffic safer by preventing accidents, ADS must demonstrate a higher level of safety than human drivers. FUSE4Rep addresses the challenge of unifying divergent information from sources such as police accident data and video-based traffic observations to ensure a comprehensive scenario representation. Through scenario fusion, the process synthesises diverse traffic data into a representative scenario catalogue, enabling a thorough assessment of ADS over a wide scenario space. Using statistical matching, it derives and varies logical scenarios to cover potential real-world conditions in stochastic simulations. A case study shows how German police accident data and video-based observations are used to create a fused scenario catalogue, demonstrating the practical application of FUSE4Rep. As part of the comprehensive “Dresden Method” for ADS evaluation, this approach provides a reliable framework for the development of safer ADS and contributes to improved road safety.
Autonomous Vehicles and Civil Liability in a Global Perspective
In the automotive sector, digitalisation, connectivity and automation are rapidly expanding. In tomorrow’s vehicles, human beings will merely be passengers – which raises a host of complex legal issues regarding accidents involving self-driving vehicles. This book is the first to offer a comprehensive, global overview of civil liability regimes for all levels of vehicle automation in jurisdictions that represent some of the most important markets for the automotive industry. After a technical introduction to how self-driving cars work, the individual chapters analyse the liability for driving automation at SAE J3016 levels 0 through 5 from a country-specific perspective. All chapters were written by experts in the field and follow a uniform legal structure. Hence, the book offers an essential comparative analysis of similarities and differences in the jurisdictions examined, while also providing suggestions for future legislative changes at the national and international level. The book is not only relevant for legal scholars and practitioners but will also be of particular interest to anyone involved in the design, manufacture, distribution and operation of self-driving vehicles.