HMM-based V2X internet-of-vehicles vehicle anti-collision early warning system

Abstract

The invention claims an HMM-based V2X internet-of-vehicles vehicle anti-collision early warning system. The system integrates a V2X communication technology, a high-precision positioning technology and an inertial navigation technology. A V2X communication module is mainly responsible for data communication, including broadcast transmission of the vehicle data, detection of surrounding vehicle data and receiving of road-side road traffic information; an inertial navigation module includes a GPS module, an accelerometer and a gyroscope and is mainly responsible for acquiring of the position data and attitude data of vehicles and adopts an inertial navigation algorithm to decrease data cycles and improve accuracy; a high-precision positioning solution module is mainly responsible for high-precision solution of vehicle positions based on the vehicle position and attitude data provided by the GPS module, the accelerometer, and the gyroscope and improves the positioning accuracy of the prior art; a hidden Markov model and a K-means clustering model are responsible for classification of vehicle state data and predicting the early warning situations of vehicle driving states at the current time.

Description

technical field [0001] The invention belongs to the technical field of intelligent networked vehicles, in particular to an online anti-collision warning system for intelligent networked vehicles. Background technique [0002] At present, smart car technology is advancing at a high speed, assisted driving and automatic driving technologies have also been rapidly developed and matured, and vehicle collision avoidance and early warning functions are also becoming more and more perfect. In the field of vehicle collision avoidance warning, automatic driving is the main implementation solution. like figure 1 As shown, it is the grading standard of automatic driving. At present, the field of automatic driving is mainly in the stage of conditional automation (L3) and partial automation (L2), and a vehicle detection, identification and early warning scheme with machine vision and radar as the core has been formed. This solution can accurately identify vehicles within the line of si...

AI Technical Summary

Problems solved by technology

[0011] The present invention aims to solve the problems in the prior art that the current vehicle anti-collision warning system based on machine vision and radar is greatly affected by environmental factors, the accuracy of anti-collision prediction is not high, and the real-time performance is not good.

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