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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