Reinforcement Learning With Physics-Based Real Time Radar For Longitudinal Vehicle Control
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 ADAS radar simulation capabilities of Ansys RTR: Physics-based and high fidelity Real time, even faster than real time
- Discover how reinforcement learning coupled with neural networks benefits from Ansys RTR: Train a reinforcement model to control vehicle speed and braking on obstacle approach Leverage raw I/Q data and range-Doppler maps to control training process
- Complete your ADAS simulation tool chain using Ansys RTR: Cross platform solution using the OSI standard Support for custom 3rd party driving simulator interfaces
- Reduce development cost and minimize your time to market using Ansys RTR: Shift your development and testing strategies from the physical to the virtual world Challenge your perception algorithms with edges case scenarios and isolate their cause