Chih Hu

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

In this work we present a simple end-to-end trainable machine learning system capable of realistically simulating driving experiences. This can be used for verification of self-driving system performance without relying on expensive and time-consuming road testing. In particular, we frame the simula…