| Title |
Development and Optimization of Geospatial API-Based AR System for Field Application of Markless AR Technology |
| Authors |
Jeong, Yujeong ; Suk, Chaehyun ; Jeon, Haein ; Yu, Youngsu ; Koo, Bonsang |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2025.26.1.045 |
| Keywords |
BIM; AR; Geospatial API; Visual Positioning System; Projection Performance |
| Abstract |
To utilize BIM-based AR technology within actual construction sites, ensuring projection stability and alignment between physical structures and AR models is a critical technical element. However, most of the previous researches for applying AR technology in construction site management has been utilized marker-based projection methods. These method faces limitations due to complex site conditions that unsuitable for marker attachment and the time-consuming process of marker placement which hindering practical implementation. Hence, this study proposed the use of a markerless projection methodology based on Geospatial API, aiming to optimize projection performance. For this purpose, an AR system for site management was developed, incorporating and enhancing the Geospatial API as the projection technology. The projection technology was tested on an actual railway bridge structure to assess its convenience, stability and alignment. Despite encountering projection performance degradation, the issue was resolved by deriving optimal conditions for image data registration required by the Geospatial API. Consequently, projection stability and alignment were achievable enhancing overall projection performance. Therefore, utilizing a markerless projection approach could potentially improve the applicability of AR technology in congested construction sites compared to marker-based methods. |