SURVEY TOOL ALIGNMENT FOR REAL-TIME MIXED REALITY INFORMATION MODEL INTERACTION IN HERITAGE RECORDING

Autor: L. Stampfer
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 1509-1518 (2023)
Druh dokumentu: article
ISSN: 1682-1750
2194-9034
DOI: 10.5194/isprs-archives-XLVIII-M-2-2023-1509-2023
Popis: While heritage documentation today is largely based on three-dimensional models as key element, the easy access to tools for creating such models as well as quick and easier to use workflows lead to a stark increase in data creation while being followed by less structured and standardized methodology. Increasingly information models are applied to structure all available data regarding an object and reference it within a digital twin of the physical object. Nevertheless, various approaches reviewed all show a process of information model creating as post-processing task, undoubtedly leading to parallel systems of captured data, and disseminated data.The following research proposes to encounter the mentioned issues by developing a strongly interwoven integrative building documentation workflow with including GNSS-RTK based survey and augmented reality tools, to start compiling coordinate-based information models right on site during the first acquirement of data. As much data as possible should be included into this process, covering geometry, visual observations, and semantic information. Making data available right after inclusion into the information model should then allow to give real-time feedback on all data available (old and new) right on site or remotely within a web-platform, virtual reality interface or else. Detaching the work of curating and information model from a manual processing step, but rather being able to link information through their position right at the time of origin, would allow models to be created, enhanced, and expanded collaboratively further giving them a fourth dimension of time and collective knowledge.
Databáze: Directory of Open Access Journals