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Road disease detection and classification method based on lightweight vehicle-mounted terminal

A vehicle-mounted terminal and road damage technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as inability to use in a large range, long detection cycle, and high detection cost

Pending Publication Date: 2020-11-24
SHENZHEN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the deficiencies in the prior art above, the purpose of this application is to provide a road disease detection and classification method based on a lightweight vehicle terminal, aiming at solving the problems of high detection cost, long detection period, and inability to cover a wide range of existing road detection methods. Technical issues used

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  • Road disease detection and classification method based on lightweight vehicle-mounted terminal
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Embodiment Construction

[0035] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. Preferred embodiments of the application are shown in the accompanying drawings. However, the present application can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the application more thorough and comprehensive.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terminology used herein in the description of the application is only for the purpose of describing specific embodiments, and is not intended to limit the application.

[0037] The invention is mainly aimed at road surface diseases of asphalt roads. ...

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Abstract

The invention relates to a road disease detection and classification method based on a lightweight vehicle-mounted terminal, and the method comprises the steps: employing the lightweight vehicle-mounted terminal to collect road surface data, and then carrying out the preprocessing of the collected road surface data; constructing a feature matrix based on the preprocessed road surface data, and training a data set in the feature matrix by using a recurrent neural network algorithm to obtain a deep learning model; and according to the constructed deep learning model, detecting the road surface,and classifying the road surface diseases. The lightweight vehicle-mounted terminal comprises a camera and sensors, and the sensors comprise an acceleration sensor, a gyroscope sensor and a GNSS sensor. According to the detection method adopted by the invention, the detectable area range of the road surface diseases is expanded, so that the detection of the road diseases is more convenient and faster, and meanwhile, the detection cost of the road surface diseases is reduced.

Description

technical field [0001] The invention relates to the field of road surface disease detection, in particular to a road disease detection and classification method based on a lightweight vehicle-mounted terminal. Background technique [0002] With the growth of population and the expansion of cities, the speed of damage to traffic infrastructure has been directly accelerated, and various types of diseases appearing on roads include: cracks, massive cracks, longitudinal cracks, transverse cracks, subsidence, ruts, potholes, etc. , When the road is damaged, it should be repaired in time, otherwise it will affect the driving of vehicles and even endanger road traffic safety. [0003] In recent years, there have been some methods of detecting road defects using computer vision or using lidar technology. However, these methods rely on expensive sensor equipment, and the detection cycle is long and the operation is complicated. [0004] Therefore, the prior art still needs to be imp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06N3/08
CPCG06N3/08G06V10/50G06F18/24
Inventor 周宝定赵文剑李清泉
Owner SHENZHEN UNIV
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