Vehicular in-cabin facial tracking using machine learning
US11935281B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 14, 2020 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Jul 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30268
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Vehicular in-cabin facial tracking is performed using machine learning. In-cabin sensor data of a vehicle interior is collected. The in-cabin sensor data includes images of the vehicle interior. A set of seating locations for the vehicle interior is determined. The set is based on the images. The set of seating locations is scanned for performing facial detection for each of the seating locations using a facial detection model. A view of a detected face is manipulated. The manipulation is based on a geometry of the vehicle interior. Cognitive state data of the detected face is analyzed. The cognitive state data analysis is based on additional images of the detected face. The cognitive state data analysis uses the view that was manipulated. The cognitive state data analysis is promoted to a using application. The using application provides vehicle manipulation information to the vehicle. The manipulation information is for an autonomous vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.