View source for 20230112991. METHOD OF HIGH-PRECISION 3D RECONSTRUCTION OF EXISTING RAILWAY TRACK LINES BASED ON UAV MULTI-VIEW IMAGES simplified abstract (CHINA RAILWAY DESIGN CORPORATION)

=METHOD OF HIGH-PRECISION 3D RECONSTRUCTION OF EXISTING RAILWAY TRACK LINES BASED ON UAV MULTI-VIEW IMAGES=


==Organization Name==

[[:Category:CHINA RAILWAY DESIGN CORPORATION|CHINA RAILWAY DESIGN CORPORATION]]


[[Category:CHINA RAILWAY DESIGN CORPORATION]]

==Inventor(s)==

[[:Category:Guangshuai Wang of Tianjin (CN)|Guangshuai Wang of Tianjin (CN)]][[Category:Guangshuai Wang of Tianjin (CN)]]

[[:Category:Jiwei Deng of Tianjin (CN)|Jiwei Deng of Tianjin (CN)]][[Category:Jiwei Deng of Tianjin (CN)]]

[[:Category:Wenfeng Gao of Tianjin (CN)|Wenfeng Gao of Tianjin (CN)]][[Category:Wenfeng Gao of Tianjin (CN)]]

[[:Category:Hai Zhao of Tianjin (CN)|Hai Zhao of Tianjin (CN)]][[Category:Hai Zhao of Tianjin (CN)]]

[[:Category:Guanjun Zhang of Tianjin (CN)|Guanjun Zhang of Tianjin (CN)]][[Category:Guanjun Zhang of Tianjin (CN)]]

[[:Category:Kai Wang of Tianjin (CN)|Kai Wang of Tianjin (CN)]][[Category:Kai Wang of Tianjin (CN)]]

[[:Category:Yingjie Zhang of Tianjin (CN)|Yingjie Zhang of Tianjin (CN)]][[Category:Yingjie Zhang of Tianjin (CN)]]

[[:Category:Huxiao Nie of Tianjin (CN)|Huxiao Nie of Tianjin (CN)]][[Category:Huxiao Nie of Tianjin (CN)]]

[[:Category:Wenteng Zhang of Tianjin (CN)|Wenteng Zhang of Tianjin (CN)]][[Category:Wenteng Zhang of Tianjin (CN)]]

[[:Category:Liang Yue of Tianjin (CN)|Liang Yue of Tianjin (CN)]][[Category:Liang Yue of Tianjin (CN)]]

[[:Category:Yuhui Ge of Tianjin (CN)|Yuhui Ge of Tianjin (CN)]][[Category:Yuhui Ge of Tianjin (CN)]]

[[:Category:Shuai Gao of Tianjin (CN)|Shuai Gao of Tianjin (CN)]][[Category:Shuai Gao of Tianjin (CN)]]

[[:Category:Luoming Zhao of Tianjin (CN)|Luoming Zhao of Tianjin (CN)]][[Category:Luoming Zhao of Tianjin (CN)]]

==METHOD OF HIGH-PRECISION 3D RECONSTRUCTION OF EXISTING RAILWAY TRACK LINES BASED ON UAV MULTI-VIEW IMAGES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20230112991 titled 'METHOD OF HIGH-PRECISION 3D RECONSTRUCTION OF EXISTING RAILWAY TRACK LINES BASED ON UAV MULTI-VIEW IMAGES

==Simplified Explanation==

The patent application describes a method for accurately reconstructing existing railway track lines using UAV multi-view images. The method involves acquiring initial data, obtaining a UAV image of the rail top centerline, calculating the rail top centerline using a nonlinear least squares method, and determining the three-dimensional coordinates of the rail centerline.

* The method uses UAV multi-view images to reconstruct railway track lines.
* Initial data is collected to provide a starting point for the reconstruction process.
* A UAV image of the rail top centerline is obtained to accurately determine the position of the track.
* The rail top centerline is calculated using a nonlinear least squares method, ensuring high precision.
* The three-dimensional coordinates of the rail centerline are then determined based on the calculated rail top centerline.

Potential applications of this technology:

* Railway track line surveying and mapping
* Maintenance and inspection of railway tracks
* Planning and design of new railway lines

Problems solved by this technology:

* Eliminates the need for outdoor workers to manually survey and map railway track lines, improving safety.
* Provides a high-precision method for reconstructing existing railway tracks, ensuring accuracy in maintenance and planning activities.

Benefits of this technology:

* Improves the safety of railway operations by reducing the need for workers to be present on the tracks.
* Increases efficiency by automating the process of surveying and mapping railway track lines.
* Provides high-precision reconstruction, resulting in accurate maintenance and planning activities.


==Original Abstract Submitted==

disclosed is a method of high-precision 3d reconstruction of existing railway track lines based on uav multi-view images, including: acquiring initial data, acquiring a uav image rail top centerline, calculating a rail top centerline based on a nonlinear least squares method, and calculating three-dimensional coordinates of the rail centerline. based on the multi-view geometry principle in computer vision and photogrammetry, object space coordinates of the line can be directly calculated by using image information, which does not require outdoor workers to work online and can effectively improve the safety of railway operation line surveying and mapping. therefore, this method has important engineering application value and application prospect.



[[Category:G06T7/73]]
[[Category:G01C11/34]]
[[Category:G06T11/00]]