DETERMINING DRIVING FEATURES USING TIMED NARROW AI AGENT ALLOCATION
A method for determining driving related features of a vehicle, the method may include: repeating, during each time interval out of multiple time intervals of a period; obtaining sensed information during at least a part of the time interval; receiving context information determined before the time interval; selecting, based on the context information, a selected sub-set of narrow artificial intelligence (AI) agents or calculating one or more driving related features. The calculating may include applying the selected sub-set of narrow AI agents on the sensed information; and determining, based on the sensed information, context information to used following the time interval.
1 . A method for determining driving related features of a vehicle, the method comprises:
repeating, during each time interval out of multiple time intervals of a period:
obtaining sensed information during at least a part of the time interval;
receiving context information determined before the time interval;
selecting, based on the context information, a selected sub-set of narrow artificial intelligence (AI) agents;
calculating one or more driving related features, wherein the calculating comprises applying the selected sub-set of narrow AI agents on the sensed information; and
determining, based on the sensed information, context information to used following the time interval.
2 . The method according to claim 1 wherein the context comprises at least one of (a) an object that appears in the sensed information, (b) a driving maneuver to be applied by the vehicle, and (b) at least one sensed information acquisition related feature.
3 . The method according to claim 2 wherein the at least one sensed information acquisition related feature is related to illumination conditions.
4 . The method according to claim 2 wherein the driving maneuver is an overtaking maneuver.
5 . The method according to claim 2 wherein the object is selected out of a junction, and a roundabout.
6 . The method according to claim 1 wherein the sub-set consists of a single narrow AI agent.
7 . The method according to claim 1 wherein the sub-set comprises two or more narrow AI agents.
8 . The method according to claim 1 wherein the applying the selected sub-set of narrow AI agents on the sensed information provides at least one narrow AI output; and wherein the calculating further comprises processing the at least one narrow AI output to provide the one or more driving related feature.
9 . The method according to claim 1 comprising autonomously driving the vehicle based on the at least one driving related feature.
10 . The method according to claim 1 comprising performing an advance driver assistance system (ADAS) operation based on the at least one driving related feature.
11 . The method according to claim 1 wherein at least one narrow AI agent of the selected sub-set of narrow AI agents is a part of a neural network.
12 . The method according to claim 2 wherein at least one other narrow AI agent of the selected sub-set of narrow AI agents is another part of the neural network.
13 . A non-transitory computer readable medium that stores instructions for.