An HMM-based V2X Vehicle Collision Warning System

Abstract

The present invention claims protection of an HMM-based V2X Internet of Vehicles vehicle collision avoidance warning system. The present invention combines V2X communication technology, high-precision positioning technology, and inertial navigation technology. The V2X communication module is mainly responsible for data communication, including the broadcast and transmission of vehicle data, the detection of surrounding vehicle data, and the reception of road traffic information at the roadside; the inertial navigation module includes GPS modules, accelerometers, and gyroscopes, and is mainly responsible for obtaining vehicle information. Position data, attitude data, and the use of inertial navigation algorithms to reduce the data cycle and improve accuracy; the high-precision positioning calculation module is mainly responsible for high-precision positioning of the vehicle based on the vehicle position and attitude data provided by the GPS module, accelerometer, and gyroscope. Solve the calculation to improve the positioning accuracy of the existing technology; the hidden Markov model and K-means clustering model are responsible for classifying the vehicle state data, and predict the early warning status of the vehicle driving state at the current moment.

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. Such as 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...

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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