Safety driving early warning method based on risk field

Abstract

The invention provides a safe driving early warning method based on a risk field, and the method mainly comprises three parts: a data collection module, a risk quantification module and a safety early warning module. Through various devices,environment information around a vehicle is collected, and position coordinates and speeds of the vehicle and surrounding vehicles in a period of time in the future are predicted based on the collected data; the risk to the vehicle caused by static traffic environment factors, dynamic traffic control information and moving objects at each moment in a period of time in the future is calculated by combining a risk field theory; according to the risk discrimination method provided by the invention, the risk is discriminated, so that the safety state of the vehicle in a period of time in the future is obtained; and corresponding safety early warning is given out to remind a driver to adjust the vehicle motion state in real time to avoid risks, so that the driving safety level is improved.

Description

technical field [0001] The present invention relates to the fields of intelligent driving and safe driving early warning, in particular to a risk field-based safe driving early warning method Background technique [0002] In recent years, with the continuous improvement of people's living standards, the number of car ownership has also increased, resulting in more frequent traffic accidents and serious losses to the safety of people's lives and property. According to the traffic accident statistical annual report, the number of traffic accidents in my country in 2018 has exceeded 240,000, and the resulting death toll has exceeded 60,000; among them, the number of motor vehicle accidents has exceeded 210,000, resulting in more than 58,000 deaths; therefore , safe driving early warning technology is of great significance to improve road safety and operational efficiency. [0003] At present, there are many early warning methods for dangerous driving behaviors, but they are mai...

AI Technical Summary

Problems solved by technology

Although this type of method can more accurately judge the current driver's behavior, the relevant physiological parameter acquisition equipment cannot be popularized due to its high price.

The second is to give early warning based on the driver’s facial features. For example, Yang Xiaofeng et al. judge the driver’s head posture by identifying the driver’s facial feature points, and classify based on the support vector machine to effectively judge the head-down behavior; but this type of method Usually the error is large, it is difficult to achieve better results in practical applications

Although this type of method is low in cost and fast in detection speed, due to the heterogeneity among drivers and the differences in the conditions of vehicles and roads, the accuracy of detection is easily disturbed.

To sum up, although there are various methods for early warning of safe driving, they usually can only provide early warning for a certain dangerous situation in the traffic, and lack a unified indicator to predict the danger of various situations that may occur on the road. assessment of degree

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