Fatal accidents involving automated vehicles (AVs) have made it clear that safety is paramount to their acceptance, testing, verification, validation, and deployment. In fact, safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles, and understandably so, since safety has some of the most complex requirements in the development of such vehicles. However, there are many misconceptions involving safety and the concept of safety as applied to automated vehicles.
This two-day course will help characterize the nature of safety and the fundamental technology involved in the design, development, testing, operation, and deployment of automated vehicles and advanced driver-assistance systems (ADAS). The course will enable participants to envision a future where the safety of automated vehicles is well understood and will guide all stakeholders in the development and use of safe automated vehicles. You’ll learn the main attributes of safety as applied to automated vehicles, including the four types of safety: Functional Safety, Safety of the Intended Functionality (SOTIF), Multi-agent safety, and safety involved in cybersecurity attacks. The discussion will enable participants to conceive of the various applicable design aspects of safety, clarify the role of SOTIF, multi-agent safety, and cybersecurity safety and address the development of multi-agent safety using a probabilistic and stochastic framework.
Participants should bring a laptop computer for five, in-class exercises designed to ensure application and retention. Learners will complete the exercises during class and will get assistance and feedback from the instructor.
By participating in this seminar, you’ll be able to:
This course will be especially valuable for those needing to address safety issues in the design of ADAS (advanced driver assistance systems) and automated vehicles. Participants should have a mechanical, electrical, or computer engineering or computer science degree.
Exclusive eBook Offer: Your course participation qualifies you for a specially-priced bundle of five books that explore automated vehicle safety concepts and technologies, authored by course instructor, Dr. Juan Pimentel. Click here for a summary of the series and links to a description of each volume. Details on this exclusive offer are sent to learners upon completion of the respective course offering.
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
Dr. Juan R. Pimentel is an international consultant who recently retired from Kettering University where he was a Professor of Computer Engineering. He is an expert in the Internet of Things (IoT), Industrial Internet, systems engineering, safety-critical systems, self-driving vehicles, and the safety of autonomous vehicles and is a recognized international expert in the areas of industrial communications, real-time and dependable systems, and autonomous vehicle safety. He has written books on industrial networking, multimedia systems, and safety-critical automotive systems. Dr. Pimentel has also performed extensive international consulting and conducted professional training courses in North and South America, Europe, Asia, and the Middle East. He is an expert witness on patent infringement cases involving automotive systems, industrial communications, and IoT.
Dr. Pimentel has performed research at institutions around the world such as the Franuhofer Institute, Germany; INRIA, France; University of Padova, Italy; Universidad Polictecnica de Madrid and Universidad Carlos III de Madrid, Spain; Universidad de los Andes, Colombia; and UTEC, Peru. In 2007 he received the “Distinguished Researcher Award” from Kettering University for contributions in the area of industrial communication systems and automotive systems. He has written over 86 peer reviewed papers at international conferences and Journals, primarily the IEEE and SAE.
As a 1980 graduate of the University of Virginia, additional accomplishments include the co-development of the application layer for Profibus (with Siemens), and the development of FlexCAN, a CAN-based dependable architecture for safety-critical applications. In the last few years he has been involved with various projects dealing with automated vehicles including design, simulation, testing, functional safety, and developing online training materials. He is a faculty advisor to the Kettering University team participating in the AutoDrive autonomous vehicle competition organized by SAE International and General Motors. One of his latest projects involve the development of techniques and methodologies to design automated vehicles with a sufficient level of safety.