Abstract
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.
Highlights
The last decade, technologies have emerged that simplified the data collection process towards the detailed 3D mapping of indoor spaces
This paper attempts to assess Simultaneous Location and Mapping (SLAM)-based and image-based mapping systems for indoor narrow space mapping through the use of different relatively low-cost system configurations. It focuses on the comparison of the 3D point clouds acquired from two commercial mapping systems and the Leica BLK2GO which is SLAM-based and Matterport Pro2 3D (MC250) which is image-based and linked to SLAM technology
To control the overall metric quality of the two Indoor Mobile Mapping Systems (IMMS) clouds, their reliability was firstly considered based on their single use
Summary
The last decade, technologies have emerged that simplified the data collection process towards the detailed 3D mapping of indoor spaces. The demand for digital 3D models of narrow spaces in a low-cost and relatively fast way is growing fast to address applications such as construction, indoor navigation, real estate management and development, emergency services, tunnel and underground mine mapping with an accuracy of few centimeters sufficed. Several approaches for narrow space mapping have been suggested in the literature, varying from high-accuracy techniques such as total station surveying and terrestrial laser scanning (TLS), to imaging techniques The former provides accurate mapping results, but with a cost in labour-intensive interactive data collection and low efficiency for comprehensive indoor mapping and map/model updating.
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