Lesson 1 - The Autonomous Driving Outlook of Today, Tomorrow, and in the Future

Provides an overview of the progress that has been made in autonomous driving, and discusses the challenges that still need to be addressed before fully autonomous vehicles are a reality.

Lesson 2 - Level Up Your Autonomous Vehicle

Explains the different levels of automation that have been defined by the Society of Automotive Engineers (SAE), and discusses the implications of these levels for the testing of autonomous vehicles.

Lesson 3 - Complex Challenges in Testing ADAS/AV Functions

Displays the complex challenges that arise when testing autonomous vehicle functions, such as the need to create realistic test scenarios and the need to verify the performance of the vehicle in a variety of conditions.

Lesson 4 - Closing the Gap between Real World Testing and Software Simulation

Discusses the limitations of software simulation for testing autonomous vehicles, and introduces the concept of radar scene emulation as a way to bridge the gap between real world testing and software simulation.

Lesson 5 - Software Simulation to Render Real‐World Complex Scenes

Discusses how software simulation can be used to render real-world complex scenes for testing autonomous vehicle radar sensors. Software simulation can be used to create realistic driving scenarios that can be used to test the performance of radar sensors in a safe and controlled environment. This can help to close the gap between real-world testing and software simulation, and can help to ensure that autonomous vehicles are safe and reliable.

Lesson 6 - Enable the Next Generation Vehicle Autonomy

Demonstrates how full scene emulation technology can be used to create realistic driving scenarios for testing autonomous vehicle functions. It also discusses the benefits of using full scene emulation, such as the ability to test in a safe and controlled environment, and the ability to test a wide variety of driving scenarios.