Abstract

There are multiple emerging technologies, devices and integrated equipment to support indoor mapping. The two main categories are the wearable/portable (e.g. hand-held or backpack devices) and the trolley based devices. The most widely used sensors of the integrated systems are the laser scanners (usually profile scanners), camera(s) and the IMU unit. Compared to outdoor mobile mapping systems the main difference is the lack of GNSS signals; localization is usually supported by SLAM (Simultaneous Localization and Mapping) technology, using Kalman-filtering. Current paper discusses the assessment of the potential of trolley-based indoor mobile mapping systems (MMS) by surveying a building part by multiple technologies. Besides conventional land surveying measurements, terrestrial lasers scanning and a backpack-based mobile survey have been carried out. The analysis included cloud-to-cloud comparison as well as CAD-based evaluation focusing on the geometric accuracy of the point clouds. The paper also presents the surveying workflow; on its resource-needs and potential application fields. The paper discusses the data acquisition technologies and procedures and the different quality assessment methods and results. Since an experimental survey was conducted with a backpack-based unit in the same study area, the paper gives a brief overview on how the two different mobile mapping technologies can be applied indoor, and presents the main differences, advantages and drawbacks.

Details

Title
INDOOR BUILDING SURVEY ASSESSMENT
Author
Lovas, T 1 ; Hadzijanisz, K 2 ; Papp, V 2 ; Somogyi, A J 1 

 Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Muegyetem rkp. 3, 1111 Budapest, Hungary; Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, Muegyetem rkp. 3, 1111 Budapest, Hungary 
 4iG PLC. Montevideo u. 8. 1037 Budapest, Hungary; 4iG PLC. Montevideo u. 8. 1037 Budapest, Hungary 
Pages
251-257
Publication year
2020
Publication date
2020
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
ProQuest document ID
2430768871
Copyright
© 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.