| Rearch on Efficient Modeling Method of Tire Section Based on Computer Vision |
| Received:February 02, 2024 Revised:February 02, 2024 |
| DOI:10.12136/j.issn.1000-890X.2025.09.0657 |
| Key Words: tire cross section;efficient modeling;computer vision;secondary development technology of AutoCAD software |
| Author Name | Affiliation | E-mail | | CAO Jinfeng | School of Mechanical and Automotive Engineering,Qingdao University of Technology | caojinfeng@qut.edu.cn | | LIU Xilong | School of Mechanical and Automotive Engineering,Qingdao University of Technology | | | CHEN Xuanyi | School of Mechanical Engineering,Yangzhou University | | | PENG Bo | School of Mechanical and Automotive Engineering,Qingdao University of Technology | | | LIU Wenjie | School of Mechanical and Automotive Engineering,Qingdao University of Technology | | | CHENG Jiaxing* | School of Mechanical Engineering,Yangzhou University | Jiaxing@yzu.edu.cn |
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| Abstract: |
| A efficient modeling method of the tire section that integrated computer vision(CV) technology and secondary development technology of AutoCAD software based on Python language was proposed,which was referred to as CV-CAD-Python method.A photography platform of the tire section was built,and a standardized process for the automation modeling of the tire section was established.Firstly,the section image of the tire section was obtained through an image acquisition system,and image preprocessing and enhancement techniques were used to highlight edge features.Then,the Canny operator was used to obtain the pixel coordinates of the edge features.Finally,using secondary development technology of AutoCAD software based on Python language,the spline curve connections were made every 3 pixels to achieve automated and efficient modeling of complex tire section.This method could shorten modeling time of the tire section from several hours to 1 minute,and could be widely applied in multiple fields. |
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