Patent ID: 11941815
Assignee: TOYOTA MOTOR EUROPE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A system for training a model to be used for semantic segmentation of images, comprising:
a module A for obtaining a first plurality of foggy images having different densities of synthetic fog,
a module B for training a classification model for estimating fog density using the first plurality of foggy images and the associated different densities,
a module C for classifying a second plurality of images using the classification model of module B according to the fog density in the images, so as to obtain a second plurality of foggy images each having a fog density comprised within a first fog density threshold and a second fog density threshold,
a module D for obtaining a third plurality of foggy images each having a fog density of synthetic fog comprised within the first fog density threshold and the second fog density threshold,
a module E for training a semantic segmentation model using the third plurality of foggy images and predefined semantic segmentations of the third plurality of images,
a module F for applying the semantic segmentation model trained by module E to the second plurality of foggy images to obtain semantic segmentations of the second plurality of foggy images,
a module G for obtaining a fourth plurality of foggy images each having a fog density of synthetic fog comprised within a third fog density threshold and a fourth fog density threshold, the third and fourth fog density thresholds being both greater than the first and second fog density thresholds,
a module H for training the semantic segmentation model trained by module E using:
the fourth plurality of foggy images and predefined semantic segmentations of the fourth plurality of foggy images,
the second plurality of foggy images and the semantic segmentations of the plurality of foggy images obtained by module F.