A Dynamic Adjustment System of Vehicle Rearview Mirror using Gaze Detection

Multi-model interaction research in the cockpit has yielded many interactive modes. Yet, the research on visual interaction is primarily focused on vehicle-to-human transmission. By utilizing eye-tracking technology, we propose a novel approach to introduce the driver’s dynamic attention to human-vehicle system interactions. In our proposed system, the angle of the rearview mirror can be dynamically adjusted according to the driver’s Area of Interest (AOI), which is obtained by identifying the driver’s gaze point. In the experimental verification results, our solution is faster than the manual adjustment scheme to adjust the target in the rearview mirror to the center of the area. In real-world applications, this method can solve the blind spots of rearview mirrors that may exist in dynamic driving tasks, especially in the variant task. Moreover, the method can be compatible with the Driver Monitor System (DMS) in the intelligent cockpit, which can be implemented easily and at a low cost.