End-to-End Learning of Driving Models from Large-Scale Video Datasets
End-to-End Learning of Driving Models from Large-Scale Video Datasets
Robust perception-action models should be learned from training data with diverse visual appearances and realistic behaviors, yet current approaches to deep visuomotor policy learning have been generally limited to in-situ models learned from a single vehicle or simulation environment. We advocate learning a generic vehicle motion model from large scale …