Detect targets in radar signals

In autonomous driving, radar systems play an important role in detecting targets such as other vehicles on the road. Radars mounted on different cars can interfere with each other, degrading the detection performance. In this context, I developed a set of deep learning methods to detect (count) targets (vehicles, people, obstacles, etc.) under radar interference, based of deep learning model.