Learning methods and devices that provide functional safety by alerting drivers about potential risk situations using explainable artificial intelligence that verifies the detection process of autonomous driving networks, and using them. Sting method and testing apparatus {LEARNING mETHOD aND LEARNING dEVICE FOR PROVIDING FUNCTIONAL SAFETY BY WARNING DRIVER ABOUT POTENTIAL DANGEROUS SITUATION BY USING EXPLAINABLE AI WHICH VERIFIES DETECTION PROCESSES OF AUTONOMOUS DRIVING NETWORK, aND tESTING mETHOD aND tESTING dEVICE USING THE SAME}

摘要

A learning method for providing a functional safety by warning a driver about a potential dangerous situation by using an explainable AI which verifies detection processes of a neural network for an autonomous driving is provided. And the learning method includes steps of: (a) a learning device for verification, if at least one training image for verification is acquired, instructing a property extraction module to apply extraction operation to the training image for verification to extract property information on characteristics of the training image for verification to thereby generate a quality vector; (b) the learning device for verification instructing the neural network for verification to apply first neural network operations to the quality vector, to thereby generate predicted safety information; and (c) the learning device for verification instructing a loss module to generate a loss, and perform a backpropagation by using the loss, to thereby learn parameters included in the neural network for verification.