PROCÉDÉ ET DISPOSITIF D'OPÉRATIONS DE RÉSEAU NEURONAL À L'AIDE D'UN GÉNÉRATEUR DE GRILLE POUR CONVERTIR DES MODES EN FONCTION DE CLASSES DE ZONES POUR RÉPONDRE AU NIVEAU 4 DE VÉHICULES AUTONOMES

摘要

A method of neural network operations by using a grid generator is provided for converting modes according to classes of areas to satisfy level 4 of autonomous vehicles. The method includes steps of: a computing device (a) instructing a detector to acquire object location information for testing and class information; (b) instructing the grid generator to generate section information by referring to the object location information for testing; (c) instructing a neural network to determine parameters for testing, to be used for applying the neural network operations to either (i) the subsections including each of the objects for testing and each of non-objects for testing, or (ii) each of sub-regions, in each of the subsections, where said each of the non-objects for testing is located; and (d) instructing the neural network to apply the neural network operations to the test image for testing to thereby generate neural network outputs.