Vehicle anticollision pre-warning system considering driver fatigue state and response capability

Abstract

The invention discloses a vehicle anticollision pre-warning system considering the driver fatigue state and response capability. The system includes a fatigue driving multi-parameter information acquisition module, a fatigue state detection and grading module, a vehicle and safe distance detection module and a fatigue driving pre-warning and control module, and different fatigue driving control response mechanisms are adopted according to fatigue degree grades. The vehicle anticollision pre-warning system provided by the invention proposes individual difference of parameters during driving of a driver, through a self-learning method of individual difference, a driving fatigue state detection and fatigue degree grading model considering individual difference is established, and the problem of fatigue misjudgment caused by individual difference of driver fatigue characteristics is solved; and at the same time, the driver fatigue state and response capability are used as one of modeling considering factors of a safe distance detection model, the problem that response action is not in time due to fatigue is effectively solved, and the occurrence of road traffic accidents is effectively avoided.

Description

technical field [0001] The invention relates to the field of safe driving, in particular to an adaptive vehicle anti-collision early warning system which considers the driver's fatigue state and response ability. Background technique [0002] With the development of highway transportation, the number of automobiles keeps increasing, and the incidence of traffic accidents also continues to rise, which has caused huge property losses and casualties to countries all over the world. According to the analysis of traffic accidents, more than 80% of rear-end collisions are caused by drivers failing to maintain a corresponding safe distance. A study in Europe shows that if a car driver can get a "warning" 0.5s before the risk of collision, at least 60% of rear-end collisions and 30% of head-on collisions can be avoided; if there is a "warning" time of 1s, then 90% of accidents can be avoided. visible, [0003] If the traffic accidents that are about to happen can be predicted and...

AI Technical Summary

Problems solved by technology

Although the fatigue warning has been researched and developed to a great extent, there are still some problems to be solved. For example, the responsiveness of different drivers to the warning information in the fatigue state is very different, and it is difficult to find a method that can be applied to all The way of early warning of fatigue state, the early warning means of most fatigue early warning products are relatively fixed at present; secondly, the response to early warning information of the same driver in different fatigue states is also quite different, and the effect of different fatigue states on early warning is not considered. influences

It can be seen that the current early warning during fatigue driving still has no significant effect on the actual effect of fatigue warning.

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