MIMIC: Mobile mapping point density calculator

C. Cahalane, T. McCarthy, C. McElhinney
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引用次数: 13

Abstract

The current generation of Mobile Mapping Systems (MMSs) capture increasingly larger amounts of data in a short time frame. Due to the relative novelty of this technology there is no concrete understanding of the point density that different hardware configurations and operating parameters will exhibit on objects at specific distances. Depending on the project requirements, obtaining the required point density impacts on survey time, processing time, data storage and is the underlying limit of automated algorithms. A limited understanding of the capabilities of these systems means that defining point density in project specifications is a complicated process. We are in the process of developing a method for determining the quantitative resolution of point clouds collected by a MMS with respect to known objects at specified distances. We have previously demonstrated the capabilities of our system for calculating point spacing, profile angle and profile spacing individually. Each of these elements are a major factor in calculating point density on arbitrary objects, such as road signs, poles or buildings -all important features in asset management surveys. This paper will introduce the current version of the MobIle Mapping point densIty Calculator (MIMIC), MIMIC's visualisation module and finally discuss the methods employed to validate our work.
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MIMIC:移动地图点密度计算器
当前一代移动地图系统(mms)在短时间内捕获的数据量越来越大。由于该技术相对新颖,对于不同硬件配置和操作参数将在特定距离上显示的点密度没有具体的理解。根据项目要求,获得所需的点密度会影响调查时间、处理时间、数据存储,并且是自动化算法的潜在限制。对这些系统能力的有限理解意味着在项目规范中定义点密度是一个复杂的过程。我们正在开发一种方法,用于确定MMS收集的点云在特定距离上对已知物体的定量分辨率。我们之前已经演示了我们的系统分别计算点间距、轮廓角和轮廓间距的能力。这些元素中的每一个都是计算任意物体(如道路标志、电线杆或建筑物)上的点密度的主要因素——这些都是资产管理调查中的重要特征。本文将介绍当前版本的移动地图点密度计算器(MIMIC), MIMIC的可视化模块,最后讨论采用的方法来验证我们的工作。
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