Davila Delgado, J.M., Oyedele, L., Demian, P. and Beach, T. 2020. A research agenda for augmented and virtual reality in architecture, engineering and construction, Advanced Engineering Informatics, Volume 45, 101122, doi: 10.1016/j.aei.2020.101122
https://www.sciencedirect.com/science/article/pii/S1474034620300914
※近年のAEC分野のXR応用に関するレビュー論文。これからの取組むべき内容も示されている(Research gap)。研究室の論文も4編引用されている。ある分野に初めてアプローチする時はReview articleを読むのが良い。
Hartmann, T. and Trappey, A. 2020, Advanced Engineering Informatics - Philosophical and methodological foundations with examples from civil and construction engineering, Developments in the Built Environment, Volume 4, 100020, doi: 10.1016/j.dibe.2020.100020
https://www.sciencedirect.com/science/article/pii/S2666165920300168
※ジャーナル誌Advanced Engineering Informaticsの編集者の執筆論文。Advanced Engineering Informaticsに投稿するならば、必ず読んでおくこと。オントロジー系の主張多し。
環境設計情報学 関連
Kikuchi, N., Fukuda, T., Yabuki, N.: 2022, Future landscape visualization using a city digital twin: integration of augmented reality and drones with implementation of 3D model-based occlusion handling, Journal of Computational Design and Engineering, 9(2), 837–856
https://academic.oup.com/jcde/article/9/2/837/6575496
Li, Y., Yabuki, N., Fukuda, T.: 2022, Exploring the association between street built environment and street vitality using deep learning methods, Sustainable Cities and Society, 79, 103656
https://www.sciencedirect.com/science/article/abs/pii/S2210670721009197
Xia, Y., Yabuki, N., Fukuda, T.: 2021, Sky view factor estimation from street view images based on semantic segmentation, Urban Climate, 40, 100999
https://www.sciencedirect.com/science/article/abs/pii/S2212095521002297
Ikeno, K., Fukuda, T., Yabuki, N.: 2021, An enhanced 3D model and generative adversarial network for automated generation of horizontal building mask images and cloudless aerial photographs, Advanced Engineering Informatics, Volume 50, 101380
https://www.sciencedirect.com/science/article/pii/S1474034621001336
Saovana, N., Yabuki, N., Fukuda, T.: 2021, Automated point cloud classification using an image-based instance segmentation for structure from motion, Automation in Construction, 129, 103804
https://www.sciencedirect.com/science/article/pii/S0926580521002557
Zhang, J., Fukuda, T., Yabuki, N.: 2021, Development of a city-scale approach for façade color measurement with building functional classification using deep learning and street view images, ISPRS International Journal of Geo-Information, 10(8):551
https://www.mdpi.com/2220-9964/10/8/551
Fukuda, T., Novak, M., Fujii, H., Pencreach, Y.: 2021, Virtual reality rendering methods for training deep learning, analysing landscapes, and preventing virtual reality sickness, International Journal of Architectural Computing, 2021, 19(2), 190–207
https://journals.sagepub.com/doi/10.1177/1478077120957544
Zhang, J., Fukuda, T., Yabuki, N.: 2021, Automatic object removal with obstructed facades completion using semantic segmentation and generative adversarial inpainting, IEEE Access, vol. 9, 117486-117495
https://ieeexplore.ieee.org/document/9517298/
Xia, Y., Yabuki, N., Fukuda, T.: 2021, Development of a system for assessing the quality of urban street-level greenery using street view images and deep learning, Urban Forestry and Urban Greening, 59, 126995
https://www.sciencedirect.com/science/article/abs/pii/S1618866721000200
Kido, D., Fukuda, T., Yabuki, N.: 2021, Assessing future landscapes using enhanced mixed reality with semantic segmentation by deep learning, Advanced Engineering Informatics, Volume 48, 101281
https://www.sciencedirect.com/science/article/pii/S1474034621000367
Kido, D., Fukuda, T., Yabuki, N.: 2020, Diminished reality system with real-time object detection using deep learning for onsite landscape simulation during redevelopment, Environmental Modelling & Software, 104759
https://linkinghub.elsevier.com/retrieve/pii/S1364815220303753
Zhu, Y., Fukuda, T., Yabuki, N.: 2020, Integrating Animated Computational Fluid Dynamics into Mixed Reality for Building-Renovation Design. Technologies 8(1), 4.
https://www.mdpi.com/2227-7080/8/1/4
Fukuda, T., Yokoi, K., Yabuki, N.: 2019, An indoor thermal environment design system for renovation using augmented reality, Journal of Computational Design and Engineering, Volume 6, Issue 2, Pages 179–188
https://www.sciencedirect.com/science/article/pii/S228843001830068X
Natephra, W., Motamedi, A., Yabuki, N., & Fukuda, T.: 2017, Integrating 4D thermal information with BIM for building envelope thermal performance analysis and thermal comfort evaluation in naturally ventilated environments. Building and Environment, 124, 194-208
https://www.sciencedirect.com/science/article/pii/S0360132317303499
Natephra, W., Motamedi, A., Fukuda, T., Yabuki, N.:2017, Integrating building information modeling and virtual reality development engines for building indoor lighting design, Visualization in Engineering, 2017, 5(1), 19
https://viejournal.springeropen.com/articles/10.1186/s40327-017-0058-x
Natephra, W., Yabuki, N., & Fukuda, T.: 2018, Optimizing the evaluation of building envelope design for thermal performance using a BIM-based overall thermal transfer value calculation. Building and Environment, 136, 128-145
https://www.sciencedirect.com/science/article/pii/S0360132318301677
Motamedi, A., Wang, Z., Yabuki, N., Fukuda, T., & Michikawa, T.: 2017, Signage visibility analysis and optimization system using BIM-enabled virtual reality (VR) environments, Advanced Engineering Informatics, 32, 248-262
https://www.sciencedirect.com/science/article/pii/S1474034616301203