Back to results
US 2023/0053786 A1Published application
Enhanced object detection
AssigneeFord Global Technologies, LLC
InventorsJohn Moore, Sahib Singh, Uttara Thakre
Life of this patent
Estimating the term…
Abstract
A plurality of subimages of an image are generated based on output from a random number generator. Each subimage is input to a machine learning program trained to output an object classified in the subimage. When a number of subimages with a same classified object exceeds a threshold, an object in the image is identified as the classified object.
Claims20
A system, comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to:
- generate, based on output from a random number generator, a plurality of subimages, wherein each subimage is a set of at least two divisions of an image, each division of the image being a portion of the image different than each other division of the image;
- input each subimage to a machine learning program trained to output an object classified in the subimage;
- and
- when a number of subimages with a same classified object exceeds a threshold, identify an object in the image as the classified object.
1 more element
A method, comprising:
- generating, based on output from a random number generator, a plurality of subimages, wherein each subimage is a set of at least two divisions of an image, each division of the image being a portion of the image different than each other division of the image;
- inputting each subimage to a machine learning program trained to output an object classified in the subimage;
- and
- when a number of subimages with a same classified object exceeds a threshold, identifying an object in the image as the classified object.
1 more element
Dependencies are inferred from the claim text.