An intelligent vehicle assisted driving method based on driver's visual information

Abstract

The invention provides an intelligent vehicle assisted driving method based on driver visual information. The intelligent vehicle assisted driving method combines a plurality of different informationacquisition methods to obtain external visual information, and organically divides various types of information from the perspective of driver information load, so that the obtainable information hasbetter hierarchy and interpretability. The collected and classified information is used, through a machine learning method, feature vectors and optimal time windows are selected, a feature parameter library based on levels and a driver information load amount classifier are separately established, an effective supporting method for selecting the timing and method of an assisted driving strategy isprovided, and human-computer interaction in intelligent vehicle assisted driving is improved.

Description

Technical field [0001] The invention belongs to the technical field of smart vehicles, and in particular relates to an auxiliary driving method for smart vehicles. Background technique [0002] The main feature of smart vehicles is that technology compensates for the defects of human factors, so that even in very complex road conditions, it can actively or passively guide, modify or even directly replace driving behavior through intelligent means of human-vehicle interaction The driver completes the driving task, but unlike the current more popular automatic driving technology, the assisted driving of intelligent vehicles emphasizes more human-machine cooperation rather than completely autonomous operation. [0003] According to the new generation of human-computer interaction technology "user-centered" design concept, intelligent vehicles need to comprehensively consider the driver's concentration of attention when performing vehicle assistance control on themselves, and implement...

AI Technical Summary

Problems solved by technology

Therefore, there is still a lack of methods in this field to effectively evaluate the information load of the driver when he is in the road intersection zone, and provide a reasonable assisted driving strategy accordingly.

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