Abstracts – Browse Results
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Birgonul, Z (2021) A receptive-responsive tool for customizing occupant's thermal comfort and maximizing energy efficiency by blending BIM data with real-time information. Smart and Sustainable Built Environment, 10(3), 504-35.
Brandín, R and Abrishami, S (2021) Information traceability platforms for asset data lifecycle: blockchain-based technologies. Smart and Sustainable Built Environment, 10(3), 364-86.
Eiris, R, Albeaino, G, Gheisari, M, Benda, W and Faris, R (2021) InDrone: a 2D-based drone flight behavior visualization platform for indoor building inspection. Smart and Sustainable Built Environment, 10(3), 438-56.
- Type: Journal Article
- Keywords: unmanned aerial vehicles; indoor building inspection; pattern recognition; flight simulators; unmanned aerial vehicles; automation; decision making; visualization; virtual reality; building information modeling; semantics
- ISBN/ISSN:
- URL: http://dx.doi.org/10.1108/SASBE-03-2021-0036
- Abstract:
The purpose of this research is to explore how to visually represent human decision-making processes during the performance of indoor building inspection flight operations using drones Data from expert pilots were collected using a virtual reality drone flight simulator. The expert pilot data were studied to inform the development of an interactive 2D representation of drone flight spatial and temporal data – InDrone. Within the InDrone platform, expert pilot data were visually encoded to characterize key pilot behaviors in terms of pilots' approaches to view and difficulties encountered while detecting the inspection markers. The InDrone platform was evaluated using a user-center experimental methodology focusing on two metrics: (1) how novice pilots understood the flight approaches and difficulties contained within InDrone and (2) the perceived usability of the InDrone platform. The results of the study indicated that novice pilots recognized inspection markers and difficult-to-inspect building areas in 63% (STD = 48%) and 75% (STD = 35%) of the time on average, respectively. Overall, the usability of InDrone presented high scores as demonstrated by the novice pilots during the flight pattern recognition tasks with a mean score of 77% (STD = 15%). This research contributes to the definition of visual affordances that support the communication of human decision-making during drone indoor building inspection flight operations. The developed InDrone platform highlights the necessity of defining visual affordances to explore drone flight spatial and temporal data for indoor building inspections.
Faris, E, Matarneh, S, Talebi, S, Kagioglou, M, Hosseini, M R and Abrishami, S (2021) Toward digitalization in the construction industry with immersive and drones technologies: a critical literature review. Smart and Sustainable Built Environment, 10(3), 345-63.
Hosseini, M R, Jupp, J, Papadonikolaki, E, Mumford, T, Joske, W and Nikmehr, B (2021) Position paper: digital engineering and building information modelling in Australia. Smart and Sustainable Built Environment, 10(3), 331-44.
Karsten Winther, J, Nielsen, R, Schultz, C and Teizer, J (2021) Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-86.
Lamptey, T, De-Graft, O-M, Acheampong, A, Adesi, M and Ghansah, F A (2021) A framework for the adoption of green business models in the Ghanaian construction industry. Smart and Sustainable Built Environment, 10(3), 536-53.
Mahmoudi, E, Stepien, M and König, M (2021) Optimisation of geotechnical surveys using a BIM-based geostatistical analysis. Smart and Sustainable Built Environment, 10(3), 420-37.
Oke, A E and Arowoiya, V A (2021) Evaluation of internet of things (IoT) application areas for sustainable construction. Smart and Sustainable Built Environment, 10(3), 387-402.
Xiong, R and Tang, P (2021) Machine learning using synthetic images for detecting dust emissions on construction sites. Smart and Sustainable Built Environment, 10(3), 487-503.