SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
Luca Bergamini,Yawei Ye,Oliver Scheel,Long Chen,Chih Hu,Luca Del Pero,Błażej Osiński,Hugo Grimmett,Peter Ondruska,Luca Bergamini,Yawei Ye,Oliver Scheel,Long Chen,Chih Hu,Luca Del Pero,Błażej Osiński,Hugo Grimmett,Peter Ondruska
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 simulation problem as a Markov Process, leveraging deep neural networks to model both state distribution a...
