Estimating conditions from observations of one instrument based on training from observations of another instrument
US10489923B2 · kind B2 · utility
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7References
24Claims
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Key dates
| Filing date | Dec 13, 2017 |
| Grant date | Nov 26, 2019 |
| Priority date | — |
| Expiry date | Feb 24, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30192
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed to label data collected by one instrument based on data collected by another instrument, train a computer learning model with the labeled data, and then use the trained computer learning model to estimate a condition from new unlabeled data. For example, weather-related pavement conditions may be estimated from camera images according to such systems and methods. Systems and methods are also disclosed to estimate road weather safety or hazard conditions using two different types of pavement conditions, such as road state and friction or grip coefficient, estimated from unlabeled camera images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.