Blind spot two-way early warning system for large vehicles

Abstract

The present invention provides a two-way early warning system for large-scale vehicle blind spots, including: a front-end perception module uses sensors to collect images, videos, and vehicle turning signals within a set range of vehicle blind spots; a front-end analysis module uses an AI model to identify obstacles and track the movement trajectories of obstacles ;Measure the speed and distance of obstacles, and predict the trajectory of obstacles. If the trajectory of obstacles is judged to pass through the inner wheel difference danger zone, the danger signal will be transmitted to the two-way early warning module to issue a two-way early warning; the cloud management and control platform will collect The data and early warning events in the blind area of ​​the vehicle are stored and analyzed to obtain an AI model and sent to the front-end analysis module on the edge side. The invention introduces technological innovations such as multi-sensor fusion and machine vision in the field of unmanned driving into the scene of the blind area of ​​large vehicles, and summarizes a universal installation scheme to improve the warning effect from the perspectives of the driver and obstacles, prevent accidents, and realize two-way early warning mechanism.

Description

Technical field [0001] The present invention relates to a large vehicle blind spot two-way early warning system based on machine vision and deep learning, belonging to machine vision, deep learning, blind spot early warning and other fields. Background [0002] In recent years, the rapid growth of China's automobile ownership, the spurt development of the transportation industry, for urban roads to bring bearing pressure and safety hazards, safe driving and related topics of the heat has increased unabated. [0003] According to statistics, the number of deaths in traffic accidents, the number of people involved in large vehicles accounted for 80%. Among the vicious traffic accidents caused by large vehicles, 70% are caused by blind spots and internal wheel differences when turning and changing lanes of large vehicles, resulting in a mortality rate of up to 90%. The traffic safety accident rate of large vehicles remains high, and the major accidents are shocking, and their excess...

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at potential safety hazards in blind areas of large vehicles. The present invention focuses on identifying obstacles in blind areas at the present stage, and designs a blind area early warning system for large vehicles.

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