Patent ID: 11875581
Assignee: ROBERT BOSCH GMBH
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 8:
9. A method for training a learning-based semantic segmentation method for determining at least one monitoring area and at least one periphery area of at least one image of an image sequence, including a plurality of training cycles and a plurality of reference images of surroundings to be monitored using an imaging system, a particular reference image of the plurality of references images being assigned to a particular training cycle, and each training cycle including the following steps:
providing the particular reference image, at least one monitoring area and at least one periphery area being labeled in the particular reference image; and
adapting the learning-based semantic segmentation method to minimize a deviation from the particular labeled reference image during the determination of at least one monitoring area and at least one periphery area of the particular reference image using the learning-based semantic segmentation method, wherein a mask for a particular image is generated using the monitoring area and/or periphery area of the particular image, and the monitoring image is generated based on an averaged multitude of masks of a corresponding multitude of respective images of the image sequence.