A Sign Reading Driver Assistance System Using Eye Gaze

Abstract

Cars are becoming, in effect, a robotic system with an embedded human. It is not possible to know what the driver is thinking. We can, however, monitor their gaze and compare it with information in their view-field to make an inference. In this paper we present a complete system that reads speed signs in real-time, compares the driver gaze, and provides immediate feedback if the sign has been missed by the driver. This paper focuses on correlating measures of driver gaze direction with the position of signs in the road scene and improving recognition of signs through image enhancement.