Mobile Phone Based Indoor Mapping

Christoph Strecha, Martin Rehak, Davide Cucci
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Abstract

Abstract. We presented a mobile phone scanning solution that offers a workflow for scanning not only small spaces, where drift can be neglected, but also larger spaces where it becomes a major accuracy issue. The LiDAR and image data is combined to build 3D representations of indoor spaces. The paper does focus on the drift compensation for larger scans on the mobile phone by using AutoTags detections. We show that those can also be used to combine scans from multiple independent scans.
基于移动电话的室内测绘
摘要我们介绍了一种手机扫描解决方案,它不仅提供了一种扫描小空间的工作流程,因为在小空间中漂移可以忽略不计,而且还提供了一种扫描大空间的工作流程,因为在大空间中漂移会成为一个主要的精度问题。激光雷达和图像数据相结合,可构建室内空间的三维图像。本文的重点是利用 AutoTags 检测对手机上的较大扫描进行漂移补偿。我们表明,这些检测也可用于合并多个独立扫描的扫描结果。
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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