Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
Rhiannon Michelmore,Matthew Wicker,Luca Laurenti,Luca Cardelli,Yarin Gal,Marta Kwiatkowska,Rhiannon Michelmore,Matthew Wicker,Luca Laurenti,Luca Cardelli,Yarin Gal,Marta Kwiatkowska
Deep neural network controllers for autonomous driving have recently benefited from significant performance improvements, and have begun deployment in the real world. Prior to their widespread adoption, safety guarantees are needed on the controller behaviour that properly take account of the uncertainty within the model as well as sensor noise. Bayesian neural networks, which assume a prior over ...
