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 Guide to Autonomous Vehicle Technology is a seven-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 organizations
  

Developed by some of the leading experts in autonomous vehicle technologies, course titles include:

• Intelligent Control of Connected and Automated Vehicles (CAVs)
  
• Object Visual Detection for Intelligent Vehicles
• Object Visual Recognition for Intelligent Vehicles
• Sensors in the Autonomous Vehicle System
• Developing and Validating Intelligent Vehicle Control Systems
• Cognition in Autonomous Vehicle Platforms
  
• Decision Making in Autonomous Vehicles
  

Contact an IEEE Content Specialist today to learn more about getting access to these courses for your organization.