Vision-based occupant classification method and system for controlling airbag deployment in a vehicle restraint system
US7505841B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 2, 2005 |
| Grant date | Mar 17, 2009 |
| Priority date | — |
| Expiry date | Sep 2, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/59
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A vehicle restraint system has a vision-based occupant classification system for control of airbag deployment during a crash scenario. The classification system utilizes two imaging sensors which together create a stream of paired images received and stored by an occupant classification controller. A computer program product of the controller utilizes the paired images to extract disparity/range features and stereo-vision differential edge density features. Moreover, the controller extracts wavelet features from one of the two paired images. All three features or maps are classified amongst preferably seven classifications by algorithms of the computer program product producing class confidence data fed to a sensor fusion engine of the controller for processing and output of an airbag control signal input into a restraint controller of the vehicle restraint system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.