Abstract: Systems and methods for training machine learning algorithms utilized for autonomous driving. An example method includes creating driving environments based at least on vision based image data received from a vehicle; simulating driving a virtual vehicle by importing driving environment scenario; in response to completing the simulation, analyzing simulated results; determining optimized driving parameters associated with the driving environment scenario; and generating a set of machine learning algorithms training data based on the determined optimized driving parameters. The driving environment scenario is based at least on the created driving environment.