Patent ID: 11967131
Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A computer implemented method for training a neural network for processing an image of a camera, the method comprising steps of:
providing the neural network with a predefined architecture, the neural network being configured to receive the image of the camera as input and to predict in response at least one characteristic,
providing a training set of training images of one or a plurality of cameras for training the neural network,
providing at least one static feature map for the camera for training the neural network or, in case of the plurality of cameras, at least one static feature map for each camera, respectively,
training the neural network based on the training images by using for each training image the static feature map;
wherein the at least one static feature map is configured to encode predetermined camera parameters including a lens distortion and/or a camera pose with respect to a pre-defined reference frame of the respective camera.