Abstract
Automated driving systems have been released in recent years to improve the active safety. In this research field, a preview/predictive driver model has been widely used as a steering controller and for driver behavior analysis. This driver model has been implemented by many researchers and, through the vehicle simulations and experiments, has been shown to reproduce driver behavior, such as the driver's steering and handle torque. On the other hand, optical flow is a part of visual information, and in our previous works we focused on it as the index used in human locomotor behavior. Humans are known to perceive the direction of their self-motion from optical flow and utilize it during driving. In experimental applications of the optical flow model to an in-vehicle system, the system was shown to be effective in practical use. In particular, the system can express the same driver behavior as the preview driver model. In this study, the preview driver model was analyzed from the viewpoint of optical flow to understand the preview driver model's interpretation of human behavior. In addition, in this paper a new preview driver model that utilizes our knowledge of optical flow is proposed. This model shows a better control performance and ride quality than the conventional preview driver model. As a result, this approach serves as a foundation of the preview driver model.
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