基于圆形和线性特征的单目位姿测量

Cai Meng, Jiao Xue, Zhan Hu
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引用次数: 6

摘要

本文提出了一种基于圆形和线性特征的单眼位姿测量新方法。该方法通过识别可检测的圆形结构和目标的线性边缘,改进了基于单圆的单眼位姿测量方法。首先,根据圆在图像上的投影,计算两组不含滚转角的位姿解;然后,利用线性特征求解横摇角。选取线性边缘的上端点作为参考点,消除模糊性。最后,建立了仿真模型和物理实验平台,验证了所提方法的有效性和准确性。实验结果表明,该方法能准确地获取滚转角,有效地消除模糊。在存在噪声和检测误差的情况下,检测结果仍然准确,表明该方法具有较强的鲁棒性,在单眼位姿测量中具有较大的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monocular Position-Pose Measurement Based on Circular and Linear Features
This paper presents a new method for monocular position-pose measurement, which is based on the circular and linear features. The method improves the single circle based monocular position-pose measurement by recognizing the detectable circular structure and linear edge of target. First, according to the projection of the circle on the image, two sets of position-pose solutions are calculated, which do not contain the roll angle. Then, the roll angle is solved by utilizing the linear feature. The upper endpoint of the linear edge is selected as a reference point to eliminate the ambiguity. Finally, the simulation model and physical experimental platform are established to verify the validity and accuracy of the proposed method. Experimental results indicate that the proposed method can obtain the roll angle accurately and eliminate the ambiguity effectively. In case of noise and detection error, the results still remain accurate, which indicates that the proposed method is robust and has great application value in monocular position-pose measurement.
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