IEEE Guide to Autonomous Vehicle Technology

Explore AI-driven safety, human-centered design & real-world applications to shape the next era of intelligent transportation.

  • 0.7 CEU / 7 PDH credits
  • Launched 2018
  • 7 courses
  • 7 hours

Course Description

Automated vehicle technologies are developing rapidly, and promise to improve driving safety. While these advanced technologies offer potential benefits to drivers, uncertainty remains about efficacy and usability when users interact with these systems.

IEEE Fundamentals of Autonomous Vehicle Technology is a six-course program that covers foundational and practical applications of autonomous, connected, and intelligent vehicle technologies.

Course Objectives

  • Overview of current state-of-the-art systems, deep learning algorithms, and other intelligent approaches that promise safer and easier driving
  • Advanced insight into recent developments made in human-centered design in mixed traffic scenarios
  • In-depth case studies that demonstrate how to test, evaluate, and refine systems in this next era of automation
  • A comprehensive look ahead at how self-driving vehicles will impact day-to-day business and operations for academic, corporate, and government organizations

Authors and Instructors

Yue Wang

the Warren H. Owen-Duke Energy Assistant Professor of Engineering in the Mechanical Engineering Department at Clemson University

Dr. Wang is the Warren H. Owen-Duke Energy Assistant Professor of Engineering in the Mechanical Engineering Department at Clemson University, where she teaches and conducts research in systems and controls with applications in human-robot interaction (HRI) systems, cyber-physical systems (CPS), and multi-robot systems (MRS). She received her B.S. degree in Mechanical Engineering and Automation from Shanghai University, China, in 2005, and M.S. and Ph.D. degrees in Mechanical Engineering from Worcester Polytechnic Institute in 2008 and 2011, respectively. Prior to joining Clemson in 2012, she was a postdoc in the Electrical Engineering Department at the University of Notre Dame. She is a Senior Member of the IEEE and a member of ASME, AAAI.

Shan Bao

Associate professor in the Industrial and Manufacturing Systems Engineering Department at the University of Michigan-Dearborn

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.

Shunsuke Aoki

Doctoral candidate in Electrical and Computer Engineering at Carnegie Mellon University

Shunsuke Aoki is currently pursuing a Ph.D. degree in Electrical and Computer Engineering at Carnegie Mellon University. He is a member of the Real-Time & Multimedia Systems Lab (RTML). He received a B.Eng. degree from Waseda University and received an M.S. degree from The University of Tokyo, Japan. His current research interests include Vehicular Communications, Multi-robot Coordination, and Cyber-Physical Systems

Steve Vozar

CTO and co-founder of May Mobility

Dr. Steve Vozar. Dr Vozar is the CTO and co-founder of May Mobility, a company dedicated to developing and deploying fleets of self-driving vehicles in community-scale environments. He has a PhD in mechanical engineering from the University of Michigan, and has been working in robotics for over a decade, including projects with DARPA, Ford, and NASA prior to founding May Mobility.

Nasser Lashgarian Azad

Associate professor, Department of Systems Design Engineering, University of Waterloo, and Director of Smart Hybrid and Electric Vehicle Systems (SHEVS) Laboratory

Dr. Nasser Lashgarian Azad is currently an Associate Professor in the Department of Systems Design Engineering, University of Waterloo, and the Director of Smart Hybrid and Electric Vehicle Systems (SHEVS) Laboratory. He was a Postdoctoral Fellow with the Vehicle Dynamics and Control Laboratory, Department of Mechanical Engineering, University of California, Berkeley, CA, USA. Dr. Azad’s primary research interests lie in control of connected hybrid and electric vehicles, autonomous cars, and unmanned aerial vehicle quadrotors. He is also interested in applications of Artificial Intelligence for solving different engineering problems. Due to his outstanding work, Dr. Azad received an Early Researcher Award in 2015 from the Ministry of Research and Innovation, Ontario, Canada.

Fabien Moutarde

Full Professor of Computational Intelligence at MINES ParisTech (PSL Université Paris)

Dr. Fabien Moutarde is a Full Professor of Computational Intelligence at MINES ParisTech (PSL Université Paris). He teaches deep machine learning and teaches visual pattern recognition for intelligent vehicles at SJTU ParisTech Elite Institute of Technology, Shanghai and conducts applied research in machine learning, datamining and computer vision for mobile and/or collaborative robotics, intelligent vehicles and intelligent transport systems. Dr. Moutarde has previously worked at Alcatel-Alsthom Recherche as a R&D engineer on various applications of neural networks, and on image compression and received an engineering degree from Ecole Polytechnique (France), a PhD in astrophysics from Université Paris VII, and an Habilitation à diriger des Recherches (HDR) in Engineering Sciences from Université Pierre & Marie Curie (Paris VI)

Alexander Wyglinski

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)

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).