Sensor fusion area of interest identification for deep learning
US11954180B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2021 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Aug 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Sensor fusion is performed for efficient deep learning processing. A camera image is received from an image sensor and supplemental sensor data is received from one or more supplemental sensors, the camera image and the supplemental sensor data including imaging of a cabin of a vehicle. Regions of interest in the camera image are determined based on one or more of the camera image or the supplemental sensor data, the regions of interest including areas of the camera image flagged for further image analysis. A machine-learning model is utilized to perform object detection on the regions of interest of the camera image to identify one or more objects in the camera image. The objects are placed into seating zones of the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.