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System for in-vehicle-infotainment based on dual asynchronous displays

專利號
US11175876B1
公開日期
2021-11-16
申請人
Ford Global Technologies, LLC(US MI Deerborn)
發(fā)明人
Fling Tseng; Aed M. Dudar; Jóhannes Geir Kristinsson
IPC分類
G06F3/14; B60K35/00; G06N3/04; G06N3/08
技術(shù)領(lǐng)域
adaptive,driver,may,system,rule,vehicle,or,display,computing,learning
地域: MI MI Dearborn

摘要

Multiple display infotainment systems in vehicles provide various options for drivers and passengers to interact with elements on the multiple displays. Techniques include accessing historical driver information that includes previous or typical driver preferences and actions while operating the vehicle. Driving context information and driver state information are received describing the conditions in and around the vehicle. When a signal indicates that an interactive element should be presented to the driver or a passenger, an adaptive rule-based system uses the contextual information and previous history to determine a score for each interaction element. The score and they type of interaction required by the element are then used to determine a location on the multiple displays for presenting the interactive element.

說明書

In various examples, the computer processing of a machine learning technique such as described above can include logistic regression, multiple linear regression (MLR), dimension reduction, partial least squares (PLS) regression, principal component regression, autoencoders, variational autoencoders, singular value decomposition, Fourier bases, wavelets, discriminant analysis, support vector machine, decision tree, classification and regression trees (CART), tree-based methods, random forest, gradient boost tree, logistic regression, matrix factorization, multidimensional scaling (MDS), dimensionality reduction methods, t-distributed stochastic neighbor embedding (t-SNE), multilayer perceptron (MLP), network clustering, neuro-fuzzy, adaptive learning systems (shallow and deep), artificial neural networks, Pearson product-moment correlation coefficient, Spearman's rank correlation coefficient, Kendall tau rank correlation coefficient, or any combination thereof.

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