Patent ID: 11861480
Assignee: SIEMENS MOBILITY GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for detecting and correcting an orientation of a target object in an image, the method comprising:
training a deep neural network using a set of training images;
providing the image as input to the deep neural network, wherein the image is a segmented image;
utilizing the deep neural network to determine an initial orientation prediction for the target object; and, utilizing the deep neural network to obtain a rectified image from the segmented image based at least in part on the initial orientation prediction, wherein an orientation of the target object in the rectified image is within a threshold value of a target orientation,
wherein utilizing the deep neural network to obtain the rectified image comprises:
determining that the initial orientation prediction deviates from the target orientation by more than the threshold value; and
generating an aligned image from the segmented image.