Ensemble of narrow AI agents for intersection assistance

A non-transitory computer readable medium for intersection assistance, the non-transitory computer readable medium comprises:

• obtaining sensed information regarding an environment of the vehicle;
• determining an occurrence of an intersection related situation, based on the sensed information;
• generating one or more intersection driving related decisions;
• wherein the generating comprises processing, by one or more narrow AI agents of a group of narrow AI agents, at least one out of (a) at least a first part of the sensed information, and (b) an outcome of a pre-processing of at least a second part of the sensed information;
• and
• responding to the one or more intersection driving related decisions;
• wherein the responding comprises at least one out of (a) executing the one or more intersection driving related decisions, and (b) suggesting executing the one or more intersection driving related decisions;
• wherein the narrow AI agents of the group are generated by:
• obtaining multiple videos obtained during driving sessions;
• identifying, in the multiple videos, intersection related video segments of intersection related situations;
• clustering, by applying an unsupervised learning process, the intersection related video segments to video segment clusters, such that different video segment clusters are associated with different intersection related situations;
• generating, per each video segment cluster, one or more driving patterns clusters indicative of driving patterns of a vehicle at the presence of corresponding intersection related situations;
• and
• allocating different narrow AI agents of the group of narrow AI agents to different combinations of (a) an intersection related situation, and (b) a driving pattern of a single driving pattern cluster.