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ESTIMATING CONDITIONS FROM OBSERVATIONS OF ONE INSTRUMENT BASED ON TRAINING FROM OBSERVATIONS OF ANOTHER INSTRUMENT
ESTIMATING CONDITIONS FROM OBSERVATIONS OF ONE INSTRUMENT BASED ON TRAINING FROM OBSERVATIONS OF ANOTHER INSTRUMENT
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机译:根据对另一台仪器的观察进行的训练,从一种仪器的观察估计条件
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摘要
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.
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