Evaluation of driving attentiveness through usage of fuzzy inference

摘要

This paper presents an evaluation of driving attentiveness by using Fuzzy Inference based on the driver's gaze when driving. Two cameras are used respectively to capture images in front of the driving car and to capture images of the driver's face in order to calculate the coordinates of the objects in front of the car and the driver's eye sight angle by using image processing. There are many kinds of inattentive driving such as loss of concentration on the objects in front of the vehicle, looking aside or idly thinking of some other things while driving, where we are able to detect the inattentive driving by evaluating the movement of the driver's gaze. Driving data with and without task were taken through offline mode experiment by using driving simulator. The tasks are to influence the concentration of the driver when driving. As a result, with the Fuzzy Inference that we proposed, inattentive driving can be detected due to the significant difference evaluation result between attentive driving and inattentive driving.