Human Factors in Vehicle Automation
Learners will consider the background concepts of human factors along with the related key issues in automated vehicle technology development, and discover potential methods and tools.
What you will learn:
- Recall the basic concepts of human factors engineering.
- Recall the importance of considering human capabilities and limitations in the design of automated vehicle systems.
- Describe human factors principles in the analysis, design, and evaluation of systems.
- Recall methods that can be used in studying human factors problems in vehicle automation.
This course is part of the following course program:
IEEE Guide to Autonomous Vehicle Technology
Courses included in this program:
Who should attend: Electrical engineer, Network engineer, Data engineer, Design engineer, Hardware engineer, Security engineer, Lead engineer, Project engineer, Product engineer
Instructors
Shan Bao
Doctor Shan Bao is an associate professor in the Industrial and Manufacturing Systems Engineering Department at the University of Michigan-Dearborn. She has a joint appointment as an associate Research Scientist in the Human Factors Group of the University of Michigan Transportation Research Institute (UMTRI). She is also an adjunct associate professor in the department of Civil and Environmental Engineering, at the University of Michigan-Ann Arbor. Her research interests focus on human factors issues related to connected and automated vehicle technologies, ADAS system evaluation, and big data analysis. Dr. Bao has served as the PI (with a total funding of 3.5 million dollars) or co-PI (with a total funding of more than 13 million dollars) of 45 research projects. She has published 54 technical publications, including 30 referred journals articles. She has chaired the Surface Transportation Technical Group of the Human Factors and Ergonomics Society. She has 16 years of experience studying and working on human factors. Dr. Bao received her Ph.D. in Mechanical and Industrial Engineering, focusing on human factors, from University of Iowa.
Alexander Wyglinkski
Dr. Alexander M. Wyglinski is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), President of the IEEE Vehicular Technology Society, and Director of the Wireless Innovation Laboratory (WI Lab). His research interests are in the area of wireless communications, connected vehicles, cognitive radios, autonomous/self-driving cars, and dynamic spectrum access networks. Dr. Wyglinski has authored/co-authored over 120 peer-reviewed journal articles and conference papers, as well as three textbooks. Dr. Wyglinski is a Senior Member of the IEEE, as well as a member of Sigma Xi, Eta Kappa Nu, and the American Society of Engineering Education (ASEE).
Publication Year: 2019
ISBN: 978-1-5386-8558-7