Training and testing a machine learning process

A non-transitory computer readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations for training and testing a machine learning process, comprising:

• learning virtual fields based on simulations of behaviors of a vehicle when faced with situations involving objects within environments of the vehicle, the virtual fields represent potential impacts of objects on the behaviors of the vehicle, wherein the learning is based on a virtual physical mode;
• training the machine learning process to generate the virtual fields by applying a training process that uses outcomes of the simulations to provide a trained machine learning process;
• and
• testing the trained machine learning process by feeding the trained machine learning process with other situations to provide test results.

A method that is computer implemented and is for navigation, the method comprises:

• obtaining object information regarding one or more objects located within an environment of a vehicle;
• determining, by a processing circuit that implements a tested machine learning process, and based on the object information, one or more virtual fields of the one or more objects;
• wherein the tested machine learning process was trained and tested by:
• learning virtual fields based on simulations of behaviors of a vehicle when faced with situations involving objects within environments of the vehicle, the virtual fields represent potential impacts of objects on the behaviors of the vehicle, wherein the learning is based on a virtual physical mode;
• training a machine learning process to generate the virtual fields by applying a training process that uses outcomes of the simulations to provide a trained machine learning process;
• and
• testing the trained machine learning process by feeding the trained machine learning process with other situations to provide test results, to provide the tested machine learning process.