点云
计算机科学
数字地图
同时定位和映射
移动地图
理想(伦理)
空格(标点符号)
点(几何)
弹道
计算机视觉
计算机图形学(图像)
人工智能
遥感
地理
数学
移动机器人
几何学
机器人
物理
哲学
操作系统
认识论
天文
作者
George Piniotis,Sofia Soile,Fotis Bourexis,Maria Tsakiri,Charalabos Ioannidis
出处
期刊:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
日期:2020-08-12
卷期号:XLIII-B2-2020: 149-156
被引量:13
标识
DOI:10.5194/isprs-archives-xliii-b2-2020-149-2020
摘要
Abstract. Narrow space surveying and mapping is of high importance for many applications, with the demand for digital 3D models in a low-cost and relatively fast way growing rapidly. This paper examines SLAM-based and image-based mapping systems for indoor mapping and focuses on the comparison of the 3D point clouds acquired from two commercial mapping systems, Leica BLK2GO and Matterport Pro2 3D (MC250). Issues that are addressed include the effect of the mapping trajectory on the produced mapping result, and the amount of mapping propagation error in narrow space surveying. The two systems are experimentally compared against both an ideal geometric target facility and in an example environment of a narrow corridor. Finally, results are given with derived metrics that can be possibly extended to several real applications.
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