Large vehicle blind area two-way early warning system

An early warning system and vehicle technology, which is applied to the traffic control system, transmission system, collision avoidance system and other directions of road vehicles to achieve the effect of powerful calculation and low delay.

Active Publication Date: 2021-06-11
JIANGSU PROVINCIAL COMM PLANNING & DESIGN INST
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  • Abstract
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  • Claims
  • Application Information

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

Method used

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  • Large vehicle blind area two-way early warning system
  • Large vehicle blind area two-way early warning system
  • Large vehicle blind area two-way early warning system

Examples

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[0039] Example 1: Such as figure 1As shown, the large vehicle blind zone bidirectional warning system 1 includes a front end perception module 2, a front end analysis module 3, a two-way early warning module 4, and a cloud control platform 5. The front end perception module 2, the front end analysis module 3, and the bidirectional warning module 4 are powered by the CAN bus. Large vehicle blind zone two-way early warning system hardware layout image 3 Indicated.

[0040] In this embodiment, the front end analysis module 3 supports 4G / 5G, the Nb-IOT form is transmitted to the cloud control platform 5. Real-time fusion analysis of blind zone data uploaded by multi-sensor, based on cloud training and model reasoning of individualized training jointly formed by personalized training in the edge of the blind zone, ridges, vehicles and objects, etc., track the dynamic position of the obstacle, Predict trajectories, support low-false positive rates, low-time warning, and achieve accura...

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Abstract

The invention provides a large vehicle blind area two-way early warning system. The system comprises a front-end sensing module which collects images, videos and vehicle turning signals within a set range of a vehicle blind area through a sensor; a front-end analysis module which identifies an obstacle by using an AI model and tracks the movement track of the obstacle, performs speed and distance measurement on an obstacle, pre-judges the movement track of the obstacle, and if it is judged that the track of the obstacle passes through the range of the inner wheel difference danger area, transmits a danger signal to the two-way early warning module to give out two-way early warning; and a cloud management and control platform which is used for storing and analyzing the collected data in the vehicle blind area and the early warning event to obtain an AI model and issuing the AI model to the front-end analysis module on the edge side. The technical innovation of multi-sensor fusion, machine vision and the like in the unmanned driving field is introduced into a large vehicle blind area scene, a universal installation scheme is summarized, the warning effect is improved from the two aspects of a driver and an obstacle, accidents are prevented, and a two-way early warning mechanism is achieved.

Description

technical field [0001] The invention relates to a large-scale vehicle blind spot two-way early warning system based on machine vision and deep learning, which belongs to the fields of machine vision, deep learning, blind spot early warning and the like. Background technique [0002] In recent years, my country's car ownership has grown rapidly, and the blowout development of the transportation industry has brought pressure and safety hazards to urban roads. The popularity of safe driving and related topics has continued unabated. [0003] According to statistics, the number of people involved in large vehicles accounts for 80% of the death toll in traffic accidents. Among the vicious traffic accidents caused by large vehicles, 70% are caused by the blind spots and inner wheel differences when the large vehicles turn or change lanes, and the fatality rate is as high as 90%. The traffic safety accident rate of large vehicles remains high, and serious accidents are shocking. T...

Claims

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Application Information

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IPC IPC(8): G08G1/16H04L29/08G06K9/00G06K9/32G06N3/04G06N3/08
CPCG08G1/167H04L67/12G06N3/084G06V20/46G06V20/58G06V10/25G06V2201/07G06N3/047G06N3/048G06N3/045Y02T10/40
Inventor 崔志伟何碧娟储轶钢华茹玥钮昊天万俊杰
Owner JIANGSU PROVINCIAL COMM PLANNING & DESIGN INST
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