In this paper, we show how the support vector machine (SVM) methodology can potentially provide enhanced unintentional lane departure prediction, which is a new ...
This study explored utilizing the nonlinear binary support vector machine (SVM) technique to predict unintentional lane departure, which is innovative, ...
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The SVM predicted, on average 0.200181 seconds in advance, lane departure correctly for all the control drivers, but missed 4 of the 1,758 and gave false ...
distance between the lane lines. In this paper, we show how to use a support vector machine (SVM) to predict an unintentional lane departure, which, to the ...
In this study, we explored utilizing the nonlinear binary support vector machine (SVM) technique to predict unintentional lane departure, which is innovative, ...
In this study, we explored utilizing the nonlinear binary support vector machine (SVM) technique to predict unintentional lane departure, which is innovative, ...
Missing: prediction. | Show results with:prediction.
We proposed a lane-departure prediction (LDP) method based on a support vector machine (SVM) and improved gated recurrent unit (GRU) models. The driver's visual ...
In this dissertation, we explored utilizing the nonlinear binary support vector machine (SVM) technique and the time series of vehicle variables to predict ...
In this study, we explored utilizing the nonlinear binary support vector machine (SVM) technique to predict unintentional lane departure, which is innovative as ...
Jan 1, 2014 · and the time series of vehicle variables to predict unintentional lane departure, which is innovative as no machine learning technique has ...