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Method for splicing panoramas and method for detecting defect status of guardrails of high-speed railways

A high-speed railway and panorama technology, which is applied to the details of image stitching, image analysis, image enhancement, etc., can solve the problems of large amount of calculation, limited field of view collected by fixed-point monitoring method, inability to control the line and all conditions along the line, etc. To achieve the effect of reducing storage and access overhead

Inactive Publication Date: 2019-04-23
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its main disadvantages: sensitive to noise, large amount of calculation, not suitable for occasions with high real-time requirements
[0007] However, the fixed-point monitoring method is limited by the collection field of view, and cannot control all the conditions along the line and along the line. Therefore, it is a must to use the vehicle-end environmental monitoring equipment installed on the high-speed comprehensive inspection train to monitor the line environment in front of the vehicle and the status of the guardrails on both sides of the line. an effective method

Method used

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  • Method for splicing panoramas and method for detecting defect status of guardrails of high-speed railways
  • Method for splicing panoramas and method for detecting defect status of guardrails of high-speed railways
  • Method for splicing panoramas and method for detecting defect status of guardrails of high-speed railways

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0163] Embodiment 1: A new panorama mosaic method based on the virtual rectangular sampling channel model of forward motion video.

[0164] The acquisition of the railway panorama consists of the following three steps: the acquisition of the forward video, the construction of the stitching area, and the strip stitching.

[0165] The algorithm for generating the railway scene panorama based on the virtual rectangular sampling channel model is shown in Algorithm 1 below.

[0166]

[0167]

[0168] Such as Figure 6 Shown is the panorama result generated from a low-quality video (720×576) collected under high-speed conditions (150km / h). The method proposed by the present invention can generate satisfactory panoramic images. For example, there is no loss of information and less distortion in nearby guardrails and electric poles. The poles in the distance are obviously stretched and twisted due to "oversampling", but this is not a part of the actual detection.

Embodiment 2

[0169] Example 2: Guardrail detection based on panorama mosaic.

[0170] As shown in Figure 9, it is the forward motion video image collected for comprehensive detection of trains. The train keeps a relatively constant speed, and the acquisition frame rate of the camera is 25 frames per second. Figure 9(a) is a railway scene with no defect in the guardrail, and Figure 9(b) is a railway scene with a defect.

[0171] The generated part of the railway panorama (left side) is shown in Fig. 10(a), and Fig. 10(b) is the part of the fence panorama extracted from Fig. 10(a) (i∈[405,490], j∈[2500 ,3000], where i is the row coordinate of the pixel, and j is the column coordinate).

[0172] According to the principle of maximizing entropy segmentation, the guardrail positioning algorithm is as follows:

[0173]

[0174] Fig. 11 is a comparison result of the three-dimensional histogram maximizing entropy segmentation method proposed by the present invention, the one-dimensional gray...

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Abstract

The embodiment of the invention provides a panoramic graph splicing method based on a virtual sampling channel model and a method for detecting a defect state of a guard railing of a high-speed railway. The detection method comprises: a forward motion video recording a high-speed railway environment state is obtained; with a panoramic graph splicing method based on a virtual sampling channel model, the forward motion video is converted into a left panoramic graph and a right panoramic graph in a railway operating environment, wherein the left panoramic graph and the right panoramic graph are used as a guard railing panoramic graph; on the basis of a maximum entropy segmentation principle, positions of a guard railing and a background in the guard railing panoramic graph are located to obtain a binary code formed by 0 and 1; run coding is carried out on th binary code; according to the run coding, a pixel width Dcur of a background area between two adjacent guard railings is calculated; and according to the pixel width Dcur of the background area between two adjacent guard railings and a normal pixel distance d between the two adjacent guard railings, whether defects exist at the two adjacent guard railings is determined.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a panorama splicing method and a method for detecting the defect state of a guard rail of a high-speed railway. Background technique [0002] Safety is the foundation and premise of high-speed railway development. There are many factors that affect the safety of high-speed railways, involving people, trains, tracks, and driving environments, as well as the coupling effects among them. In order to ensure the safety of high-speed railways, it is required that the operating environment of high-speed railways must be fully closed. Installing guardrails along high-speed railways is a means to achieve a closed environment. [0003] In order to monitor man-made damage or climbing into the fence, as well as to monitor the integrity of infrastructure such as signal equipment and power supply systems in closed environments, at present, fixed video equipment is mainly used f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06T7/00G06T7/38
CPCG06T3/4038G06T7/0004G06T2200/32G06T2207/10016G06T2207/20021G06T2207/30221
Inventor 田媚罗四维王胜春
Owner BEIJING JIAOTONG UNIV
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