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A Missing Path Restoration Method Based on Machine Learning and License Plate Recognition Data

A technology of license plate recognition and repair method, which is applied in the field of intelligent transportation, can solve the problems of missing shots, wrong shots, and missing travel paths of motor vehicles in license plate recognition data, and achieves the effect of improving the accuracy.

Active Publication Date: 2022-04-26
SOUTH CHINA UNIV OF TECH +2
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that there is a missing path in the motor vehicle travel trajectory extracted based on the lack of points such as missed shots and wrong shots in the license plate recognition data, the present invention provides a missing path repair based on machine learning and license plate recognition data. method

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  • A Missing Path Restoration Method Based on Machine Learning and License Plate Recognition Data
  • A Missing Path Restoration Method Based on Machine Learning and License Plate Recognition Data
  • A Missing Path Restoration Method Based on Machine Learning and License Plate Recognition Data

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[0048] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the application;

[0049] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0050] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings.

[0051] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0052] A missing path restoration method based on machine learning and license plate recognition data such as figure 1 shown, including the following steps:

[0053] S1. Obtain the license plate recognition data, clean the invalid data and redundant data in the license plate recognition data, and obtain the travel chain data set; the attributes included in the license plate recognition d...

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Abstract

The invention provides a method for repairing missing paths based on machine learning and license plate recognition data, by searching for possible noise sources from the acquired license plate recognition data, screening and cleaning them, extracting the travel trajectory of the vehicle, and then analyzing the travel trajectory according to the itinerary The abnormal value of the time is further processed to ensure the validity and rationality of the travel trajectory data; and the effective features in the travel trajectory data are extracted to train an effective machine learning model. For the missing paths of large-scale points and license plate recognition data, Estimate the information of vehicles passing through each intersection to form a complete travel chain. The method of the invention is based on the basic data items of the urban video license plate recognition data, and solves the problem that the vehicle travel trajectory extracted based on the lack of a path is caused by missing or wrongly captured points in the license plate recognition data.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, and more specifically, to a method for repairing missing paths based on machine learning and license plate recognition data. Background technique [0002] With the development momentum of the intelligent transportation industry and the rise of big data storage and data mining technology, based on the rapid development of artificial intelligence machine learning, deep learning and other technologies, based on basic traffic data, such as automatic number plate recognition data (Automatic Number Plate Recognition, ANPR), Global Positioning System data (Global Positioning System, GPS) data, coil data, mobile phone signaling and other data collection technology upgrades, can obtain more and more effective travel trajectory related information, for the extraction of traffic travel trajectory data To lay a foundation, through the obtained accurate travel trajectory information, it is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/215G06F16/29G06N20/00G08G1/01G08G1/017
CPCG06F16/215G06F16/29G06N20/00G08G1/0125G08G1/0175
Inventor 魏鑫徐建闽林永杰首艳芳卢凯
Owner SOUTH CHINA UNIV OF TECH
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