Sentence examples for estimate driver from inspiring English sources

Therefore, it is complex to estimate driver performance.

Test 1 raised a number of concerns about using ORS as a method to estimate driver sleepiness based on video recordings.

Non-intrusive visual observation and estimation of affective parameters is commonly using recorded video (RGB) signal, for example, to estimate student engagement from facial expressions [3, 17], to estimate mood of children during one-to-one tutoring by using facial analysis [2], and to estimate driver's vigilance from his head pose [18].

In this paper, we focus our attention on estimating driver head pose respecting the requirements (R1), (R2), and (R3).

For this purpose, several studies have been conducted to develop intelligent systems for continuously estimating driver vigilance level and emitting visual and acoustic alarms to avert the driver against abnormal state.

In our paper, we use three classes for both pitch and yaw angles since we deal with the problem of estimating driver head pose to determine its inattention level.

In our paper, we deal with the problem of estimating driver head pose according to two degrees of freedom (pitch and yaw angles) in order to identify three classes (cl) for each angle.

Since no public database is available for estimating driver head pose, we perform several experiments on the public database Pointing'04 to validate our approach and compare it with the recent and the most cited state-of-the-art techniques.

Since we deal with estimating driver head pose, we have annotated our sequence using three classes for pitch and three classes for yaw. Figure 5 represents an example of frames corresponding to each class according to the pitch and yaw angles.

In [6], the problem of estimating driver head pose is addressed using a localized gradient orientation descriptor on 2D video frames acquired by a special camera (sensitive to IR and VS lights) as the input to two support vector regressions (SVRs), one for pitch and the other for yaw.

We estimated driver exposures to be between 1.3 and 2.5 times greater during the late 1980s than during the early 2000s, even after controlling for higher background levels in the past (Table 1).