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Recognition method, system, and medium of decked vehicles based on bayonet-to-flow probability

A recognition method and bayonet pairing technology, applied in the field of intelligent transportation, can solve the problem of vehicle identification that cannot be duplicated

Active Publication Date: 2021-02-09
湖南科创信息技术股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention provides a method and system for identifying vehicles with license plates based on bayonet pair flow probability, and a computer-readable storage medium to solve the technical problem that vehicles with license plates cannot be accurately identified in the prior art

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  • Recognition method, system, and medium of decked vehicles based on bayonet-to-flow probability
  • Recognition method, system, and medium of decked vehicles based on bayonet-to-flow probability
  • Recognition method, system, and medium of decked vehicles based on bayonet-to-flow probability

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Embodiment Construction

[0099] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways as defined and covered below.

[0100] like figure 1 As shown in the figure, the preferred embodiment of the present invention provides a method for recognizing a dummy vehicle based on a bayonet pair flow direction probability, which is used to effectively and accurately identify a dummy vehicle. The method for identifying the deck vehicle includes the following steps:

[0101] Step S1: Obtain all the bayonet numbers to form a bayonet set K={k 1 , k 2 , k 3 , k 4 ...k n};

[0102] Step S2: Establish a two-dimensional matrix K of bayonet pairs m , specifically, the Cartesian product K*K of the bayonet set K itself is established, and all bayonet pair combinations are approximated to form an n*n bayonet pair two-dimensional matrix K m =[k i *k j ], i∈N + ∧i≤n, j∈N + ∧j≤n;

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Abstract

The invention discloses a recognition method and system for decked vehicles based on bayonet pair flow probability, a recognition method and system for decked vehicles based on deep learning of bayonet flow direction probability, and a computer-readable storage medium . The identification method and system of vehicles with license plates based on bayonet pair flow probability of the present invention, through statistical analysis and data modeling of vehicle running bayonet track data, has good recognition accuracy, especially in combination with the registration of number plate vehicles Information can effectively improve the accuracy and efficiency of checking and detaining license plate vehicles, beautify the operating environment of vehicles, and ensure the safety of people's lives and property. In addition, the continuous characteristics of vehicle trajectories can be obtained without road network and distance data, and it can also be compatible with missing shot data. Compared with calculating distance or determining trajectory continuity based on road network, the effect is better and the complexity is lower.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular, to a method and system for identifying licensed vehicles based on bayonet-to-flow probability, and a computer-readable storage medium. Background technique [0002] Clone vehicles, commonly known as cloned vehicles, refer to the model and color of the real license plate, and the fake license plates with the same number are placed on the same model and color of the vehicle. Because the owner of the license plate is using someone else’s license plate, he is bold when driving on the road, and commits serious violations of traffic laws such as crossing red lights and crossing yellow lines, which brings serious safety hazards to traffic safety, or family members, friends, etc. Deck each other in the circle to avoid related checks and fees. Due to the characteristics of strong concealment and difficulty in investigation and evidence collection, and there is no...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/017
CPCG08G1/0175
Inventor 李建华杨杰
Owner 湖南科创信息技术股份有限公司
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