The stable and accurate measurement of the position of tunneling machine in coal mines is crucial for enhancing intelligence and efficiency. To address the issue of inaccurate position measurements of binocular vision, an analysis was conducted to examine the accuracy of position measurements made by binocular vision, specifically by analyzing the imaging phenomena in visual sensors and the structural parameters of binocular vision. The study examines how the attitude parameters of a spatial circle impact the vision sensor’s plane projection error, establishes a circular feature projection error model, and conducts simulation analysis. Furthermore, a structural parameter analysis model for binocular vision sensors is proposed based on error analysis theory, and a simulated position measurement accuracy curve is provided along with criteria for selecting structural parameters. In addition, a model is developed for measuring the accuracy of a vision system on a boom-type roadheader. The model comprehensively analyzes the impact of plane imaging errors and structural parameters on the accuracy of the body position visual measurement system. Finally, experiments are carried out to verify the accuracy and reliability of the proposed system and methods for measuring body position accuracy.

中文翻译：

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基于双目视觉的悬臂式掘进机位置测量精度分析

煤矿掘进机位置的稳定、准确测量对于提升智能化和效率至关重要。针对双眼视觉位置测量不准确的问题，通过分析视觉传感器的成像现象和双眼视觉的结构参数，检验双眼视觉位置测量的准确性。研究了空间圆的姿态参数对视觉传感器平面投影误差的影响，建立了圆特征投影误差模型，并进行了仿真分析。此外，基于误差分析理论，提出了双目视觉传感器的结构参数分析模型，并给出了模拟位置测量精度曲线以及结构参数的选择标准。此外，还开发了一个用于测量悬臂式掘进机上视觉系统精度的模型。该模型综合分析了平面成像误差和结构参数对体位视觉测量系统精度的影响。最后进行实验验证所提出的人体位置精度测量系统和方法的准确性和可靠性。