远距离三维坐标测量中双目视觉系统结构参数的优化

针对双目视觉系统对远距离大视场复杂地形环境下目标点三维坐标的测量,研究了优化系统结构,提高双目视觉系统坐标测量精度的方法。分析了系统结构参数对测量精度的影响,通过在监测区域内设置靶标对系统进行标定。测量时,将获取的目标点图像信息代入测量模型进行解算,从而获得目标点的空间三维坐标。仿真分析了系统结构参数中调平传感器精度以及系统布局方式对三维坐标测量精度的影响,得出了其误差影响趋势。在此基础上,提出系统调平传感器精度为±0.1°的要求以及系统合理的布局方式,为构建双目视觉测量系统的布局提供参考。对直径200m的区域进行了监测,结果显示目标点的相对定位误差均小于0.33%,满足系统的精度指标要求,同时使得系统现场架设更加方便快捷,避免了盲目性。

Optimization of structural parameters of binocular vision system in remote 3-D coordinate measurement

To improve the measurement accuracy of a binocular vision system for target points in remote 3D coordinates, the system structure was optimized, and a high precision coordinate measurement method for the binocular vision system was given. The influence of system structure parameters on the measurement accuracy was analyzed, then the feature target was placed in the monitoring area to calibrate two cameras. In measurement, the image information of obtained feature target was induced into the measuring model to do a calculation and to obtain the space 3D coordinate. The effects of the measuring accuracy of a leveling sensor and the system layout on the 3D coordinate measurement accuracy were analyzed and the error change trends were obtained. It suggests the accuracy of the leveling sensor should be ±0.1° and the system layout should be more reasonable, which will provide a reference for constructing a excellent binocular vision system. In application to monitoring the area with a diameter of 200 m, the results show that the relative error of the target points is less than 0.33%, which satisfies the system's requirement, and is convenient for system's layout as well as avoids the design blindness.