Low power consumption deep neural network for simultaneous object detection and semantic segmentation in images on a mobile computing device
US11010641B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 14, 2019 |
| Grant date | May 18, 2021 |
| Priority date | — |
| Expiry date | Jul 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A mobile computing device receives an image from a camera physically located within a vehicle. The mobile computing device inputs the image into a convolutional model that generates a set of object detections and a set of segmented environment blocks in the image. The convolutional model includes subsets of encoding and decoding layers, as well as parameters associated with the layers. The convolutional model relates the image and parameters to the sets of object detections and segmented environment blocks. A server that stores object detections and segmented environment blocks is updated with the sets of object detections and segmented environment blocks detected in the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.