IEEE Guide to Autonomous Vehicle Technology
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.
What you will learn:
- 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
Courses included in this program:
Course Program Length: 7 hours
Program Level: Intermediate
Who Should Attend: Electrical engineer, Network engineer, Data engineer, Design engineer, Hardware engineer, Security engineer, Lead engineer, Project engineer, Product engineer
Instructors
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)
Shan Bao, Associate professor in the Industrial and Manufacturing Systems Engineering Department at the University of Michigan-Dearborn
Yue Wang, the Warren H. Owen-Duke Energy Assistant Professor of Engineering in the Mechanical Engineering Department at Clemson University
Fabien Moutarde, Full Professor of Computational Intelligence at MINES ParisTech (PSL Université Paris)
Shunsuke Aoki, Doctoral candidate in Electrical and Computer Engineering at Carnegie Mellon University
Nasser Lashgarian Azad, Associate professor, Department of Systems Design Engineering, University of Waterloo, and Director of Smart Hybrid and Electric Vehicle Systems (SHEVS) Laboratory
Steve Vozar, CTO and co-founder of May Mobility
Publication Year: 2018
ISBN: 978-1-5386-0022-1