Integrated system for detection of driver condition
US10592785B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2017 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Apr 26, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.