Automatic recognition of vehicle differentiated driving behaviour in automatic driving scenarios

Due to the problems of low recognition accuracy and long recognition time in traditional automatic recognition methods for driving behaviours, an automatic recognition method for vehicle differentiated driving behaviours in autonomous driving scenarios is proposed. Firstly, a camera imaging model is used to obtain vehicle differential driving behaviour images in an autonomous driving scene, and the obtained vehicle differential driving behaviour images are filtered, colour enhanced, and deblurred. Then, the processed images are segmented based on a Gaussian mixture model to construct a multi view of driving behaviour to ensure the accuracy of subsequent recognition. Finally, vehicle differential driving behaviour features are extracted to automatically identify fatigue driving, and sudden acceleration/deceleration differential driving behaviour of vehicles such as idling. The simulation results show that the proposed method has higher accuracy and shorter recognition time for vehicle differential driving behaviour automatic recognition in autonomous driving scenarios.