US Patent 10459444 Autonomous vehicle fleet model training and testing

A method and system of using excess computational resources on autonomous vehicles. Such excess computational resources may be available during periods of low demand, or other periods of idleness (e.g., parking). Where portions of computing resources are available amongst a fleet of vehicles, such excess computing resources may be pooled as a single resource. The excess computational resources may be used, for example, to train and/or test machine-learning models. Performance metrics of such models may be determined using hardware and software on the autonomous vehicle, for example sensors. Models having performance metrics outperforming current models may be considered as validated models. Validated models may be transmitted to a remote computing system for dissemination to a fleet of vehicles.