Personalized calibration functions for user gaze detection in autonomous driving applications
US11886634B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 19, 2021 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Jun 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08B29/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, systems and methods are disclosed that provide highly accurate gaze predictions that are specific to a particular user by generating and applying, in deployment, personalized calibration functions to outputs and/or layers of a machine learning model. The calibration functions corresponding to a specific user may operate on outputs (e.g., gaze predictions from a machine learning model) to provide updated values and gaze predictions. The calibration functions may also be applied one or more last layers of the machine learning model to operate on features identified by the model and provide values that are more accurate. The calibration functions may be generated using explicit calibration methods by instructing users to gaze at a number of identified ground truth locations within the interior of the vehicle. Once generated, the calibration functions may be modified or refined through implicit gaze calibration points and/or regions based on gaze saliency maps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.