IEEE Guide to Autonomous Vehicle Technology

For experienced professionals readying to make the next career move

 

IEEE Guide to Autonomous Vehicle Technology is a seven-course program exploring the latest industry-leading strategies and business-critical research on 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

 

Essential Information for Autonomous Vehicle Development

 

Developed by top experts in autonomous vehicle technologies in partnership with IEEE Vehicular Technology Society, course titles include:

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

 

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