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INVESTIGATION OF GEOMETRIC PERFORMANCE OF AN INDOOR MOBILE MAPPING SYSTEM

机译:室内移动映射系统的几何性能研究

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摘要

Up-to-date and reliable 3D information of indoor environments is a prerequisite for many location- based services. One possibility to capture the necessary 3D data is to make use of Mobile Mapping Systems (MMSs) which rely for instance on SLAM (simultaneous localization and mapping). In most indoor environments, MMSs are by far faster than classic static systems. Moreover, they might deliver the point clouds with higher degree of completeness. In this paper, the geometric quality of point clouds of a state-of-the-art MMS (Viametris iMS3D) is investigated. In order to quantify the quality of iMS3D MMS, four different evaluation strategies namely cloud to cloud, point to plane, target to target and model based evaluation are employed. We conclude that the measurement accuracies are better than 1?cm and the precision of the point clouds are better than 3?cm in our experiments. For indoor mapping applications with few centimeters accuracy, the system offers a very fast solution. Moreover, as a nature of the current SLAM-based approaches, trajectory loop should be closed, but in some practical situations, closing the local trajectory loop might not be always possible. Our observation reveals that performing continuous repeated scanning could decrease the destructive effect of local unclosed loops.
机译:室内环境的最新,可靠的3D信息是许多基于位置的服务的先决条件。捕获必要的3D数据的一种可能性是利用例如依赖于SLAM(同时定位和映射)的移动制图系统(MMS)。在大多数室内环境中,MMS远远快于经典静态系统。而且,它们可能以更高的完整性提供点云。本文研究了最先进的MMS(Viametris iMS3D)点云的几何质量。为了量化iMS3D MMS的质量,采用了四种不同的评估策略,即云到云,点到平面,目标到目标以及基于模型的评估。我们得出的结论是,在我们的实验中,测量精度优于1?cm,点云的精度优于3?cm。对于几厘米精度的室内制图应用,该系统提供了非常快速的解决方案。此外,作为当前基于SLAM的方法的本质,应该关闭轨迹循环,但是在某些实际情况下,关闭局部轨迹循环可能并不总是可能的。我们的观察表明,执行连续重复扫描可以减少局部未闭合回路的破坏作用。

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