Fletcher, LukeLoy, GarethBarnes, NickZelinsky, Alexander2015-12-130921-8890http://hdl.handle.net/1885/73646A driver assistance system (DAS) should support the driver by monitoring road and vehicle events and presenting relevant and timely information to the driver. It is impossible to know what a driver is thinking, but we can monitor the driver's gaze direction and compare it with the position of information in the driver's viewfield to make inferences. In this way, not only do we monitor the driver's actions, we monitor the driver's observations as well. In this paper we present the automated detection and recognition of road signs, combined with the monitoring of the driver's response. We present a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver.Keywords: Computer vision; Real time systems; Roads and streets; Robotics; Traffic signs; Vehicles; Automatic sign classification; Driver assistance systems (DAS); Sign detection; Traffic features; Automobile drivers Driver assistance; Sign detection200510.1016/j.robot.2005.03.0102015-12-11