Research on semi-trailer panoramic surround view system based on feature point matching

Zhewen Tian, Weizheng Pan
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Abstract

Based on the structural characteristics of semi-trailer trains and the problem of large blind spots in their field of view, this article proposes a pure visual solution to determine the articulation angle technology and build a panoramic view system for semi-trailer trains to solve the problem of blind spots. Firstly, the fisheye camera is corrected for distortion and perspective transformation, and a weighted fusion algorithm is used to generate partial panoramic images of a single vehicle body. Then, the articulation angle algorithm based on feature point matching is used to obtain the articulation angle information, and the panoramic view image of the entire vehicle is generated by combining the articulation angle information. Finally, a simulation scene is built in Prescan to verify the stitching effect. The simulation results show that the proposed panoramic view system can effectively and clearly generate panoramic view images of semi-trailer trains at different articulation angles, effectively eliminating blind spots in their field of view and improving vehicle safety.
基于特征点匹配的半挂车全景环视系统研究
本文针对半挂车列车的结构特点及其视场盲点大的问题,提出了一种纯视觉解决方案,确定衔接角度技术,构建半挂车列车全景视场系统,解决视场盲点问题。首先对鱼眼相机进行畸变校正和透视变换,利用加权融合算法生成单个车身的部分全景图像;然后,采用基于特征点匹配的衔接角算法获取衔接角信息,结合衔接角信息生成整车全景图像;最后,在Prescan中建立仿真场景来验证拼接效果。仿真结果表明,所提出的全景视图系统能够有效、清晰地生成半挂车列车在不同铰接角度下的全景图像,有效消除其视场盲点,提高车辆安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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