Validation and Verification of Automated Driving Systems
暫譯: 自動駕駛系統的驗證與確認

本書提供了自動駕駛系統驗證與確認的最新方法的全面概述。它涵蓋了相關標準（ASAM）的最新發展，討論了挑戰並提供了針對這些挑戰的建議框架和工具的見解。

Michael Stolz received the M.Sc. degree in mechanical engineering (2002) and the PhD. degree in electrical engineering (2013) from Graz University of Technology, Graz, Austria. He was in the automotive industry as a development engineer for ten years (one year as the skill team leader in the field of automated driving).He was a part of the Automated Driving Research Team with the Institute of Automation and Control, Graz University of Technology, as a postdoctoral project assistant and is now with the Institute of Computer Graphics and Vision at Graz University of Technology. He is also within Virtual Vehicle Research GmbH as a key researcher responsible for project planning and technical guidance of funded projects in the field of automated driving and artificial intelligence. His main research interests include automated driving, automotive control systems, embedded control, control-system architecture, algorithms for path planning and control, simulation, synchronization, optimization in control, and validation of automated driving.

Daniel Watzenig was born in Austria and holds a doctorate in electrical engineering. He received the venia docendi (habilitation) in electrical measurement science and signal processing from Graz University of Technology, Austria. He currently serves as Chief Technology Officer (CTO) and Head of the Electronics Systems and Software Department at Virtual Vehicle Research, Graz. In addition, he was appointed Full Professor of Multi-Sensor Perception of Autonomous Systems at the Institute of Visual Computing, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology. His research interests include sensing and control of autonomous vehicles, sensor fusion, reinforcement learning, and decision-making under uncertainty. Professor Watzenig is the author or co-author of more than 200 peer-reviewed publications, book chapters, patents, and articles. He is the Editor-in-Chief of the SAE International Journal on Connected and Automated Vehicles (SAE JCAV). He has been a guest lecturer at Stanford University, USA, since 2019, teaching multi-sensor perception for autonomous systems. In 2023, he also began teaching robotics classes as a guest lecturer at Tongji University in Shanghai, China. He is the founder of the Autonomous Racing Graz Team and, since 2024, has served as Vice Chair and Executive Committee Member of the IEEE Austria Section. He is also an IEEE Distinguished Lecturer in the field of autonomous vehicles, a Board Member of the INSIDE Industry Association (European Initiative on Intelligent Digital Systems), and a Member of the Academic Advisory Council of PAVE (Partners for Automated Vehicle Education). Since 2019, he has acted as a consultant and appointed expert in military robotics for the Defense Technology Agency of the Austrian Armed Forces.

邁克爾·斯托茲於2002年獲得奧地利格拉茨科技大學的機械工程碩士學位，並於2013年獲得電氣工程博士學位。他在汽車產業擔任開發工程師十年（其中一年擔任自動駕駛領域的技能團隊領導）。他曾作為博士後專案助理，參與格拉茨科技大學自動化與控制研究所的自動駕駛研究團隊，現在則在格拉茨科技大學的計算機圖形與視覺研究所工作。他同時在虛擬車輛研究有限公司擔任主要研究員，負責自動駕駛和人工智慧領域資助專案的計畫規劃和技術指導。他的主要研究興趣包括自動駕駛、汽車控制系統、嵌入式控制、控制系統架構、路徑規劃和控制的演算法、模擬、同步、控制中的優化，以及自動駕駛的驗證。

丹尼爾·瓦岑尼格出生於奧地利，擁有電氣工程博士學位。他在奧地利格拉茨科技大學獲得電氣測量科學和信號處理的教學資格（habilitation）。目前，他擔任虛擬車輛研究的首席技術官（CTO）及電子系統與軟體部門負責人。此外，他還被任命為格拉茨科技大學計算機科學與生物醫學工程學院視覺計算研究所的自主系統多傳感器感知全職教授。他的研究興趣包括自主車輛的感知與控制、傳感器融合、強化學習以及不確定性下的決策。瓦岑尼格教授是200多篇經過同行評審的出版物、書籍章節、專利和文章的作者或合著者。他是《SAE國際連接與自動駕駛車輛期刊》（SAE JCAV）的主編。自2019年以來，他一直擔任美國史丹佛大學的客座講師，教授自主系統的多傳感器感知。2023年，他還開始在中國上海的同濟大學擔任客座講師教授機器人課程。他是自主賽車格拉茨隊的創始人，自2024年起擔任IEEE奧地利分會的副主席和執行委員會成員。他還是IEEE在自主車輛領域的傑出講師、INSIDE產業協會（歐洲智能數位系統倡議）的董事會成員，以及PAVE（自動駕駛車輛教育夥伴）的學術諮詢委員會成員。自2019年以來，他擔任奧地利武裝部隊國防科技局的軍事機器人顧問和指定專家。