Overview
Automated vehicle (AV) 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 Guide to Autonomous Vehicle Technology will cover the six-course program that covers foundational and practical applications of autonomous, connected, and intelligent vehicle technologies, including: -An 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 organization
Key Takeaways
- Discover an overview of current state-of-the-art systems
- Understand recent developments made in human-centered design in mixed traffic scenarios
- Review some case studies that demonstrate how to test, evaluate, and refine systems
- Learn the impact of the day-to day business and operations for academic, corporate, and government organizations
Speaker
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, http://www.wireless.