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A statistical method for estimating the accuracy of scene reconstruction using a collinear digital stereo vision system

机译:一种使用共线数字立体视觉系统估算场景重建准确性的统计方法

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摘要

We present a model and technique for the analysis of measurement capabilities of on-board collinear digital stereo vision systems. For this, we use a technique of determining statistical distributions of measurement errors and report the obtained results. The proposed model can be employed for pre-calculating the characteristics of on-board collinear digital stereo vision systems, while the results can also be used to estimate the accuracy of reconstructed maps. This is especially interesting for the oil industry, where continuous monitoring of the conditions of long pipelines using autonomous robots is necessary. With the help of appropriate stereo vision systems, it is possible to assess the conditions of pipelines, detect critical deformations, fix gust places, etc. to ensure safety in the oil infrastructure.
机译:我们提出了一种用于分析车载共线数字立体视觉系统的测量能力的模型和技术。为此,我们使用一种确定测量误差的统计分布的技术并报告获得的结果。提出的模型可用于预先计算车载共线数字立体视觉系统的特征,而结果还可用于估计重建地图的准确性。这对于石油工业尤为有趣,因为在石油工业中,需要使用自动机器人连续监控长管道的状况。借助适当的立体视觉系统,可以评估管道状况,检测关键变形,修复阵风等,以确保石油基础设施的安全。

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