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solve display problems

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Tang1705
2021-01-24 12:22:24 +08:00
parent 89e784e170
commit 869159d1bd
2 changed files with 4 additions and 2 deletions
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Readme-en.md
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@@ -36,7 +36,7 @@
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</a>
<a href="./Readme-en.md">
<img src="https://img.shields.io/badge/Readme-English%20Version-blue?style=for-the-badge&logo=data:image/png;base64,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""/>
<img src="https://img.shields.io/badge/Readme-English%20Version-blue?style=for-the-badge&logo=data:image/png;base64,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""/>
</a>
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</div>
## [👁️‍🗨️](https://emojipedia.org/eye-in-speech-bubble/) Overview
The wheel-rail attitude of high-speed rail reflects the complex dynamic interaction and restraint relationship between wheels and rails. Mastering the true contact attitude between them is an important foundation for ensuring the safe of high-speed railways. How to accurately obtain the wheel-track attitude of high-speed railways has always been a hot research field in domestic railway scientific research. However, it is imprecise and unreliable to obtain the wheel-rail contact attitude from 2D image. Extracting the feature points of the wheel-rail surface and reconstructing a 3D model can obtain the wheel-rail contact attitude more realistically and accurately.

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Readme.md
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@@ -36,7 +36,7 @@
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</a>
<a href="./Readme-en.md">
<img src="https://img.shields.io/badge/Readme-English%20Version-blue?style=for-the-badge&logo=data:image/png;base64,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"/>
<img src="https://img.shields.io/badge/Readme-English%20Version-blue?style=for-the-badge&logo=data:image/png;base64,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"/>
</a>
<br/>
<br/>
@@ -48,6 +48,7 @@
</div>
## [👁️‍🗨️](https://emojipedia.org/eye-in-speech-bubble/) 基本概述
高铁轮轨姿态反映了车轮与钢轨之间复杂的动态相互作用和约束关系，掌握他们之间真实接触姿态是保障高速铁路安全运营的重要基础。如何能够精确获得高铁轮轨姿态一直是国内铁路科研的热门研究领域。但单单从二维图像上获取轮轨接触姿态是不精确、不可靠的，而将轮轨表面的特征点提取出来，重建出一个三维模型能更加真实、准确地获得轮轨接触姿态。