Road congestion determination method, terminal device and computer readable storage medium

A road and congestion information technology, applied in the field of computer vision, can solve problems such as high requirements for external detection environment, inability to judge road congestion, and poor anti-interference ability.
CN108550259AInactive Publication Date: 2018-09-18何澜
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
何澜
Publication Date
2018-09-18
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a road congestion determination method, a terminal device and a computer readable storage medium. Target convolution features of a to-be-processed road image is extracted by apreset neural network model; the target convolution features are substituted into a classification decoder, a detection decoder, and a segmentation decoder respectively to obtain a classification result, a position result, and a semantic segmentation result; according to the classification result, the position result, and the semantic segmentation result, a road surface area coordinate and a vehicle area coordinate in the to-be-processed road image are determined; road congestion information of the to-be-processed road image is determined based on the road surface area coordinate and the vehicle area coordinate. Therefore, the accuracy of the road congestion determination is improved; the processing time of the road congestion determination is shortened; the interference by the external environment is eliminated; and the road congestion can be determined reliably in real time.
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Description

technical field

[0001] The present invention relates to the field of computer vision, in particular to a method for judging road congestion, a terminal device and a computer-readable storage medium. Background technique

[0002] With the rapid development of the national economy and the acceleration of urbanization, the number of motor vehicles and road traffic in my country has increased rapidly, and the problem of traffic congestion has become increasingly serious. In this case, it is particularly important to use an advanced traffic monitoring system to monitor road traffic conditions in real time, improve the response speed to emergencies such as road congestion, and achieve final traffic control and guidance.

[0003] However, traffic control and guidance must be based on the acquisition of real-time and accurate traffic flow statistical information. The early manual statistical method not only consumes manpower, but also obtains real-time information that is difficult ...

Claims

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