Vehicle anti-collision early warning system based on vehicle-mounted sensing network

Abstract

The invention relates to a vehicle anti-collision early warning system based on a vehicle-mounted sensing network. The vehicle anti-collision early warning system comprises an subject vehicle (SV) information module, a self-learning functional module, an information memory module, a vehicle collision judging module, an anti-collision early warning device module, a DSRC (Dedicated Short Range Communications) vehicle-vehicle communication module and a neighborhood vehicle (NV) anti-collision early warning system, wherein the SV information module consists of an information acquiring and processing module and a module including the ID (Identity) and the size fixed information of a vehicle; the information acquiring and processing module is used for exchanging data with the anti-collision early warning device module through the self-learning functional module and the vehicle collision judging module; the module including the ID (Identity) and size fixed information of the vehicle is used for exchanging data with the anti-collision early warning device module through the information memory module and the vehicle anti-collision judging module; and the information memory module is in DSRC wireless communication with the NV anti-collision early warning system of a surrounding vehicle through the DSRC vehicle-vehicle communication module. By adopting the vehicle anti-collision early warning system, the vehicle running state can be forecast, and the effectiveness and suitability of the anti-collision early warning system are enhanced.

Description

technical field [0001] The invention relates to a vehicle anti-collision early warning system, in particular to a vehicle anti-collision early warning system based on a vehicle sensor network. Background technique [0002] With the rapid increase in the number of cars, vehicle collision accidents are also on the rise, resulting in a large number of casualties and property losses. In order to reduce vehicle collision accidents, in recent years, vehicle anti-collision warning devices based on sensors such as infrared, radar, and cameras have been widely concerned. The principle is generally to detect the distance between the vehicle and other vehicles through sensors. When the threshold is reached, an alarm prompt will be given. The above method focuses on the relative distance and speed between the vehicle and the surrounding vehicles, and the amount of information obtained is small, so there are certain limitations. In addition, sensors such as infrared, radar, and cameras...

AI Technical Summary

Problems solved by technology

[0004] (1) The advantages of the on-board sensor network are not fully utilized. In addition to information such as vehicle speed, acceleration, and position, information such as vehicle body deflection angle, steering wheel angle, accelerator pedal angular displacement, brake pedal angular displacement, and turn signal status can also be introduced. It is used to predict the running state and running track of the vehicle, and improve the accuracy and effectiveness of collision avoidance warning

[0005] (2) Although there are patents that consider the impact of different drivers' personalities on the vehicle collision avoidance algorithm, the artificial setting method may cause a large discrepancy with the actual situation

No patent has proposed a collision avoidance warning system with a "self-learning" function for the driver's real-time behavior characteristics

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