Safety Decision-Making for Autonomous Vehicles

Erscheinungsjahr 2027
ISBN: 978-3-032-19772-6
Verlag: Springer

Buch, Englisch, Format (B × H): 168 mm x 240 mm

Reihe: Sustainable Mobility & Energy

According to the data provided by World Health Organization, about 1.25 million people are killed and even more people are injured in traffic accidents each year. A significant amount of work has been carried out along with technological advancements to ensure the safety of automobiles. For example, the advanced driving assistance system plays an auxiliary role for the general public to drive, and the intelligent transportation system also brings convenience to road safety management. However, developing a more powerful automatic driving system and evaluating its safety are still great challenges that need further studies. This book will demonstrate the safety decision-making according to the requirement of increasing the safety of autonomous driving. In detail, including the introduction techniques of AI-monitor-based safe decision making, ODD-monitor-based safe decision making, Legal decision-making for autonomous driving, and Moral decision-making under extremely critical situations.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Wang, Hong

Watzenig, Daniel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Safe Decision-Making for Autonomous Driving: A Comprehensive Survey and Challenges.- AI and ODD-monitor-based Safe Decision-Making.- Legal Decision-Making for Autonomous Driving.- Moral Decision-Making under Extremely Critical Situation.- Safe Decision-Making for Autonomous Driving: A Comprehensive Summary.

Über Autor(innen)

Hong Wang is research associate professor at Tsinghua University. From 2015 to 2019, she was working as a Research Associate of Mechanical and Mechatronics Engineering with the University of Waterloo. Her research focuses on the safety of on-board AI algorithms, and the safe decision-making for intelligent vehicles. She serves as associate editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Vehicles.

Daniel Watzenig holds a doctorate in electrical engineering. He received the habilitation in electrical measurement science and signal processing from Graz University of Technology, Austria, where he was appointed Full Professor of Multi-Sensor Perception of Autonomous Systems at the Institute of Visual Computing. He currently serves as Chief Technology Officer (CTO) and Head of the Electronics Systems and Software Department at Virtual Vehicle Research GmbH. He is also an IEEE Distinguished Lecturer in the field of autonomous vehicles.