This live stream webinar highlights the new physics based Ansys Real Time Radar (RTR) solution applied to a reinforcement learning model for performing longitudinal vehicle control. Ansys RTR introduces a new paradigm for sensor development by leveraging Nvidia GPUs and new algorithms to accelerate simulation by orders of magnitude without compromising accuracy.
The webinar series will demonstrate Ansys RTR running on Microsoft Azure.
Attending these webinars you will:
Learn about the technology and capabilities of Ansys RTR including key aspects of ADAS and autonomy use cases such as multiple targets in the radar field of view, multipath and interference among complex scatterers, effects of varying surface scattering properties and more.
Watch the progress of the reinforcement learning model in this follow-up live stream session. View the rendered scenarios and key metrics such as the number of virtual kilometers driven and virtual accidents encountered.
See the progress that has been made thus far, with the accident rate declining as the reinforcement learning algorithm becomes better trained for a longitudinal speed and braking control scenario.
Discover the learning steps and progress of the control agent, view the output and ask questions regarding the Ansys Real Time Radar technology and its value in reinforcement learning for autonomous scenarios.
