The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 149–156, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-149-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 149–156, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-149-2020

  12 Aug 2020

12 Aug 2020

EXPERIMENTAL ASSESSMENT OF 3D NARROW SPACE MAPPING TECHNOLOGIES

G. Piniotis, S. Soile, F. Bourexis, M. Tsakiri, and C. Ioannidis G. Piniotis et al.
  • School of Rural and Surveying Engineering, National Technical University of Athens, Greece

Keywords: SLAM, LiDAR, image-based mapping, point cloud, narrow space, sensors evaluation

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.