Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions: Development, Testing and Verification

This book discusses the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF) that must respond safely, reliably, and optimally in varying operating conditions. It addresses the complexity of real-world driving scenarios by incorporating human interaction modeling, theoretical approaches, and practical examples. The methods and examples provided are valuable for academic and industrial researchers, automotive companies, and suppliers.

Format: Hardback
Length: 223 pages
Publication date: 29 June 2018
Publisher: Springer International Publishing AG

This comprehensive book delves into the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF). These control algorithms must respond safely, reliably, and optimally in varying operating conditions, while also ensuring compliance with safety and emission legislation. Given the complex interaction between vehicles and the environment, as well as the diverse range of traffic participants, the potential for an infinite number of scenarios and situations to arise is significant. To address this complexity, the book introduces new methods, drawing upon human interaction modeling, theoretical approaches to defining real-world scenarios, and practical examples and contributions. These methods aim to facilitate efficient development and testing of ADAS and ADF, ensuring their safe and effective integration into real-world driving situations.

The book is organized into five chapters, each covering a different aspect of control algorithm development and testing. Chapter 1 provides an overview of ADAS and ADF, highlighting their importance in enhancing road safety and reducing traffic congestion. Chapter 2 explores the challenges faced in developing control algorithms for these systems, including the need for robustness, reliability, and adaptability to different driving conditions. Chapter 3 introduces human interaction modeling as a tool for understanding driver behavior and preferences, which is crucial in designing intuitive and user-friendly interfaces for ADAS and ADF. Chapter 4 discusses various theoretical approaches to defining real-world scenarios, such as scenario generation, simulation, and data analysis, and their application in developing control algorithms for ADAS and ADF. Chapter 5 presents practical examples and contributions from international experts in the field, showcasing the latest developments and advancements in control algorithm development and testing for ADAS and ADF.

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions serves as a valuable resource for academic and industrial researchers, as well as for automotive companies and suppliers. The methods and examples demonstrated in the book will provide valuable insights into the latest developments in control algorithm research and their application in the automotive industry. By leveraging the expertise and knowledge of the contributors, readers will gain a deeper understanding of the challenges and opportunities associated with the development and testing of control algorithms for ADAS and ADF.

In conclusion, this book offers a comprehensive and up-to-date exploration of control algorithm development and testing for advanced driver assistance systems and automated driving functions. By addressing the complexity of real-world driving scenarios and leveraging innovative methods, the book provides valuable insights into the future of automotive technology and its impact on road safety and transportation efficiency.

Weight: 532g
Dimension: 165 x 242 x 17 (mm)
ISBN-13: 9783319915685
Edition number: 1st ed. 2019