In this study, high-fidelity driving simulation experiments are carried out. The driver’s eye movement data and takeover performance data are obtained, which can provide good support for the analysis of driver perception level and the takeover performance. The effectiveness of driving simulators has...
For driver A, it demonstrated a high performance in the window size of 30 as well as in the size of 10. Overall, however, a window size in 10 demonstrated the best performance. Some metrics, such as accuracy, demonstrated even better performance than on the test set (Table 5). A ...
Due to the high cost of autonomous driving, the stress and lack of confidence experienced by drivers when using it become significant obstacles to its promotion. 1.2. The Reasons for Distrusting Auto Driving Those who have experienced an autonomous driving system will understand the sense of ...
This movement situation also results in high accuracy of the compensated respiratory rate shown in Figure 10f. The results demonstrate that the proposed method compensates for an irregularly distorted signal in a driving situation in which movement exists, and it accurately estimates the respiratory ...
It will be different when the vehicle is moving on winding, hilly roads, at high traffic density, in dynamically changing traffic situations. Then, the distance to the target point is shortened. While driving, the observation point can “change” its position as the moving vehicle changes its ...
It ensures high registration accuracy for multi-zone point cloud registration. Extensive experiments demonstrate that the proposed method reduces the head pose estimation error, and has reliable results on the head pose estimation and gaze zone classification. The rest of this paper is organized as ...
Many remote gaze-tracking-based techniques, which are based on head and eye pose features extracted from driver videos, have popularly been used in driving scenarios due to their high user friendliness. Gaze mapping is the essential step to build the mapping relationship between the driver’s eye...
The dataset is smaller in size and has high intraclass variations due to the illumination factor of frames, glasses, eye gaze movements, talking to a passenger, picking up something on the dashboard, sleeping, etc. It can further be observed that ReSVM replaces the SVM classifier in ResNet...
In the Speed Task, participants looked at the speedometer considerably more often than in the Baseline task, but still in a functional manner—that is, attention seemed to be focused on the speedometer when there was a high probability that the threshold speed would be exceeded. This latter ...
This study is conducted on a real live highway to investigate the driver’s performance in estimating the speed and distance of vehicles behind the target lane during lane changes. Data on the participants’ estimated and actual data on the rear car were collected in the experiment. Ridge regre...