Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge

arXiv:2404.16893v1 Announce Type: new
Abstract: In safety-critical systems that interface with the real world, the role of uncertainty in decision-making is pivotal, particularly in the context of machine learning models. For the secure functioning of Cyber-Physical Systems (CPS), it is imperative to manage such uncertainty adeptly. In this research, we focus on the development of a vehicle's lateral control system using a machine learning framework. Specifically, we employ a Bayesian Neural Network (BNN), a probabilistic learning model, to address uncertainty …

abstract arxiv confidence context cs.ai cs.lg cs.ro cyber decision drive knowledge machine machine learning machine learning models making pivotal role safety safety-critical systems type uncertainty world