Field Work’s Optimization for the Digital Capture of Large University Campuses, Combining Various Techniques of Massive Point Capture
Buildings
; 12(3):380, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1760398
ABSTRACT
The aim of the study is to obtain fast digitalization of large urban settings. The data of two university campuses in two cities in northern Spain was captured. Challenges were imposed by the lockdown situation caused by the COVID-19 pandemic, which limited mobility and affected the field work for data readings. The idea was to significantly reduce time spent in the field, using a number of resources, and increasing efficiency as economically as possible. The research design is based on the Design Science Research (DSR) concept as a methodological approach to design the solutions generated by means of 3D models. The digitalization of the campuses is based on the analysis, evolution and optimization of LiDAR ALS points clouds captured by government bodies, which are open access and free. Additional TLS capture techniques were used to complement the clouds, with the study of support of UAV-assisted automated photogrammetric techniques. The results show that with points clouds overlapped with 360 images, produced with a combination of resources and techniques, it was possible to reduce the on-site working time by more than two thirds.
Building And Construction; LIDAR; TLS; UAV; point cloud; 3D modelling; Pandemics; Software; Urban environments; Photogrammetry; Emissions; Clouds; Optimization; Roads & highways; Unmanned aerial vehicles; Green buildings; COVID-19; Automation; Urban areas; Case studies; Aircraft; Lasers; College campuses; Three dimensional models; Digitization; Research design; Data collection; Coronaviruses; Disease transmission; Spain
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Qualitative research
Language:
English
Journal:
Buildings
Year:
2022
Document Type:
Article
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