Self-learning from air of artificial intelligence models applicable for driving

A system of self-learning from air of AI models applicable for driving, the system comprising at least one processing device configured to:

• obtain, by a computerized system, aerial image signatures of patches of aerial images that capture at least parts of an environment faced by a vehicle, wherein the computerized system is associated with a set of artificial intelligence models applicable for autonomous driving;
• identify, from the aerial image signatures, a set of aerial image signatures in accordance with a specified driving scenario faced by the vehicle;
• and
• train, in a self-supervised learning process based, at least in part, on the identified set of aerial image signatures, a neural network to implement an artificial intelligent model and to provide a decision making for the specified driving scenario, wherein the artificial intelligence model is at least one of:
• a new artificial intelligence model, or one of the set of artificial intelligence models associated with the computerized system.

A non-transitory computer readable medium storing instructions that, when executable by at least one processing device of a system, cause the system to:

• obtain aerial image signatures of patches of aerial images that capture at least parts of an environment faced by a vehicle, wherein the computerized system is associated with a set of artificial intelligence models applicable for autonomous driving;
• identify, from the aerial image signatures, a set of aerial image signatures in accordance with a specified driving scenario faced by the vehicle;
• and
• train, in a self-supervised learning process based, at least in part, on the identified set of aerial image signatures, a neural network to implement an artificial intelligent model and to provide a decision making for the specified driving scenario, wherein the artificial intelligence model is at least one of:
• a new artificial intelligence model, or one of the set of artificial intelligence models associated with the computerized system.