Accuracy of a neural network (NN)

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 improving an accuracy of a neural network (NN) used for classification, comprising:

• obtaining a signature generated by a signature generator, the signature represents at least a part of a sensed information unit (SIU);
• calculating, by a controller, a distance between the signature and a reference signature that is associated with an error;
• and
• determining, by the controller, that the signature is associated with the error when the distance does not exceed a distance threshold;
• wherein the reference signature is a cluster signature that represents a cluster of signatures, the cluster of signatures comprises (i) first signatures that are determined, during a supervised learning process associated with at least partially autonomous driving, to be associated with the error;
• and (ii) second signatures that are generated during an unsupervised learning process for the autonomous driving scenario, and exhibit a defined similarity with the first signatures.