A toolchain for automated acquisition and processing of as-built data with autonomous UAVs

Henk Freimuth, M. König
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引用次数: 3

Abstract

BIM-driven projects depend on structured as-built information with high availability, but the acquisition process for visual data involves too much manual labour. Apart from acquisition, the generation of data with laser scanners and other methods requires computationally intensive registration processes. Unmanned Aerial Vehicles (UAVs) have gained attention for all applications that involve re-mote sensing, but still require piloting personnel. UAVs with newly developed reactive autonomy, guided by stereo cameras in addition to standard GPS, enable both auto-mated operation and, more importantly, the generation of structured data that is aligned with the model. This work proposes a toolchain for producing structured point clouds of construction elements in progress.
利用自主无人机自动获取和处理已建成数据的工具链
bim驱动的项目依赖于具有高可用性的结构化已建成信息,但是可视化数据的获取过程涉及太多的体力劳动。除了采集之外,用激光扫描仪和其他方法生成数据需要计算密集的配准过程。无人驾驶飞行器(uav)在涉及遥感的所有应用中都得到了关注,但仍然需要驾驶人员。无人机具有新开发的反应自主能力,除了标准GPS之外,还由立体摄像头引导,可以实现自动操作,更重要的是,可以生成与模型一致的结构化数据。这项工作提出了一个工具链,用于生成正在进行的构建元素的结构化点云。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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