Traffic signal lamp control method based on deep convolution neural network

A traffic signal, deep convolution technology, applied in the field of intelligent transportation

Active Publication Date: 2016-10-12
汤一平
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] To sum up, there are still several thorny problems in the road condition recognition using computer vision: 1) How to accurately locate and segment the overall image of the vehicle under test from the complex background and accurately frame each fra

Method used

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  • Traffic signal lamp control method based on deep convolution neural network
  • Traffic signal lamp control method based on deep convolution neural network
  • Traffic signal lamp control method based on deep convolution neural network

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] refer to Figure 1-9 , the technical solution adopted by the present invention to solve its technical problems is:

[0109] First, have a global understanding of the congestion and overflow at the downstream entrance of the four-fork intersection, such as figure 1 As shown, vehicles in the west direction in the figure have been congested. According to the current traffic regulations, vehicles in other phases are not allowed to enter the downstream entrance in the west direction, as shown in figure 1 East-facing E in 2 , north-facing N 0 and south-facing S 1 , due to the current technical problems, only the corresponding warning signs were used to prompt on the signal lights, but the state of the signal lights was not set to red lights. Traffic police law enforcement has brought many difficulties; the ideal situation is that when the above-mentioned state is detected, it will be as follows figure 1 East-facing E in 2 , north-facing N 0 and south-facing S 1 The se...

Embodiment 2

[0181] The rest are the same as in Embodiment 1, except that a camera is installed in front of each downstream entrance and above the fork to acquire video images of each downstream entrance and above the fork respectively.

Embodiment 3

[0183] There are high-rise buildings near the fork and near the fork and under the situation that no blocking occurs at the downstream entrances, all the other are the same as in Embodiment 1, except that cameras are installed at a height of more than 10 meters in the high-rise buildings to obtain the downstream entrances The video image above the junction and fork.

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Abstract

The invention discloses a traffic signal lamp control method based on a deep convolution neural network. The system hardware comprises a dead-corner-free omni-directional vision sensor used for getting a panoramic video image of a whole intersection, a computer used for segmenting the video image, analyzing the state of traffic congestion in a key place using a deep convolution neural network, and sending a processing result and a control command to a signal lamp controller, and the signal lamp controller used for receiving the control command of the computer and controlling the signal lamps at the intersection. Through the method, violation of the traffic rules 'green for go and red for stop' under traffic congestion at intersections is solved effectively, the occurrence of large-area traffic congestion caused by running the green lamp is prevented effectively, and the difficulty and intensity of law enforcement by the traffic police are reduced greatly.

Description

technical field [0001] The invention relates to the application of computer technology, pattern recognition, artificial intelligence, applied mathematics and biological vision technology in the field of intelligent transportation, and in particular to a traffic signal light control method based on a deep convolutional neural network. Background technique [0002] At present, there are red, yellow and green indicator lights, "arrow" signal lights, multi-phase signal lights, etc. on the roads of cities in our country; with the sharp increase in the number of vehicles, there will often be congestion during the peak traffic period due to poor clearing and overflow of downstream queuing Question: According to the new traffic regulations, motor vehicles should stop outside the intersection and wait when there is a traffic jam at the intersection ahead. At present, there will be some corresponding warning signs above the signal lights at the intersection to inform the driver. It is...

Claims

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Application Information

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IPC IPC(8): G08G1/07G08G1/01G08G1/017
CPCG08G1/0133G08G1/0175G08G1/07
Inventor 汤一平
Owner 汤一平
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