A warning method for rear-side obstacles based on driver's perceptual risk model

To prevent crashes of automobiles, many driver assistance systems have been proposed. Several warning systems have been proposed to reduce driver cognitive and judgment load. Such warning systems should have ability to evaluate collision risk and to start warning appropriate timing. Inversely, the system's efficacy can be decreased if the driver feels annoyance and/or mistrust with inappropriate warning timing etc. To overcome this problem, we propose a new warning method for rear-side obstacle based on driver's perceptual risk model that we derived from the analysis of driver's deceleration behaviour. Validity of the warning method will be shown by driving simulator experiments. In addition, there exists individual difference in expectation of meaning of warning. Thus, differences of the efficacy and driver's response behaviours against warning will be analysed based on the difference of their expectation.