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Train bottom item point mapping method

A mapping method and train technology, applied to computer components, instruments, calculations, etc., can solve problems such as relative position offset of items

Pending Publication Date: 2022-05-06
中数智科(杭州)科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that the deviation between the template image and the image to be inspected in the vehicle bottom inspection image in the prior art causes the relative position offset of the item points, a mapping method for the item points at the bottom of the train is provided

Method used

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings in order to better understand the technical solution.

[0030] Feature extraction: SURF feature extraction is performed on the template image and the current image captured by the camera respectively. Since the camera parameters are determined, the template image and the image to be checked are of the same scale, that is, , where the image is two-dimensional data, and the length is , with a width of , 3 channels of red, yellow and blue.

[0031] The camera used is a two-dimensional imaging camera, and the image acquisition point is set by the robot, and the image acquisition is repeated. However, due to systematic risks, there are deviations in the images collected at the same location.

[0032] Feature matching: According to the extracted SUFR features, calculate the Euclidean distance between two feature points to determine the matching degree. The shor...

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Abstract

The invention discloses a train bottom item point mapping method. The method comprises the following steps: 1) feature extraction: performing SURF feature extraction on a template image obtained by shooting a train body by a camera and an image to be detected; 2) feature matching: according to the extracted SUFR features, calculating an Euclidean distance between two feature points to determine a matching degree, and determining a feature matching relationship; 3) affine transformation: according to the corresponding relation of feature matching, affine transformation is carried out on the to-be-detected image, and the to-be-detected image after the reference template image is calibrated is obtained; according to the method, the problem of item point correspondence of the vehicle bottom inspection image can be solved, the difference between the historical state and the current state of a certain item point of a train is combined, and the abnormal condition of the item point is judged more accurately.

Description

technical field [0001] The invention belongs to the technical field of industrial detection, and in particular relates to a method for mapping points at the bottom of a train. Background technique [0002] Urban rail transit is an important part of modern urban traffic system, and the safety of vehicle operation is very important. With the development of computer technology, vehicle inspection technology has gradually matured through image acquisition and recognition and judgment. There are many items that need to be covered in the daily inspection, such as whether the bolts are loose, whether the switch is displaced, etc. The traditional safety guarantee method is to realize vehicle fault troubleshooting through manual inspection. The operation is easily affected by subjective factors, and the inspection work needs to be completed within a fixed time window. The application of software and hardware technology promotes the proceduralization of inspection work, which greatl...

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Application Information

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IPC IPC(8): G06V10/40G06V10/75G06K9/62
Inventor 林贤煊周思杭杜强杨轩孙雪峰谢震宇
Owner 中数智科(杭州)科技有限公司
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