DeepSIL: A Software-in-the-Loop Framework for Evaluating Motion Planning Schemes Using Multiple Trajectory Prediction Networks
Jan Strohbeck,Johannes Müller,Adrian Holzbock,Michael Buchholz,Jan Strohbeck,Johannes Müller,Adrian Holzbock,Michael Buchholz
Testing and verification is still an open issue on the way to fully automated driving. Simulations can help to reduce the required testing efforts, however, classical simulators based on physical models and heuristics, such as the intelligent driver model (IDM), show limited model accuracy on a microscopic scenario level. In turn, learning-based driver models are often capable to predict human dri...
