Image processing system for detecting when an airbag should be deployed
US6662093B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 17, 2002 |
| Grant date | Dec 9, 2003 |
| Priority date | — |
| Expiry date | Jan 17, 2022 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60R2021/01315
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention can determine whether a collision has occurred, whether an airbag should be deployed, and what the desirable strength of an airbag deployment should be based on occupant characteristics obtained from the segmented image of the occupant. Using interacting multiple model Kalman filters, the invention can infer three-dimensional characteristics from a two-dimensional image, and predict the location, velocity, and acceleration of the occupant. Kalman filters are used with respect to all measurements to incorporate past predictions and measurements into the most recent estimates and predictions in order to eliminate the “noise” associated with any particular measurement. The system can predict the position and shape of the occupant at a faster rate than the rate at which the sensor collects data. Occupant characteristics can be compared to corresponding predetermined data associated with various occupant modes, including the mode of crashing, to determine if a collision has occurred.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.