Physics-based Synthetic Data for Real World Radar Applications
In this technical paper, Ansys subject matter expert Arien Sligar discusses using electromagnetic simulation technology derived from Ansys HFSS to generate synthetic data for training an ML algorithm in image recognition for an automotive radar application.
You'll Learn About:
- The use of a digital mission engineering approach for automotive radar sensor modeling
- Building a virtual environment for the automotive radar, including targets
- Differences between synthetic and real-world data and their applicability to training a neural network for the automotive radar
