Building Recognition using AI at Large-Scale
What is BRAILS
BRAILS is the acronym for Building Recognition using AI at Large-Scale, which is an AI-Based software for city information modeling.
BRAILS uses deep learning technologies to extract information from satellite or street view images, providing the architecture, engineering, and construction (AEC) professionals the insight and tools to more efficiently plan, design, construct, and manage buildings and infrastructure systems.
How to cite
Charles Wang, Qian Yu, Frank McKenna, Barbaros Cetiner, Stella X. Yu, Ertugrul Taciroglu & Kincho H. Law. (2019, October 11). NHERI-SimCenter/BRAILS: v1.0.1 (Version v1.0.1). Zenodo. http://doi.org/10.5281/zenodo.3483208
References
[BHF+19] | Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, and Andreas Dengel. Multi-task learning for segmentation of building footprints with deep neural networks. 2019 IEEE International Conference on Image Processing (ICIP), pages 1480–1484, 2019. |
[Goo97] | Pierre Goovaerts. Geostatistics for natural resources evaluation. Oxford University Press on Demand, 1997. |
[HW68] | David H Hubel and Torsten N Wiesel. Receptive fields and functional architecture of monkey striate cortex. The Journal of physiology, 195(1):215–243, 1968. |
[LHF+19] | Weijia Li, Conghui He, Jiarui Fang, Juepeng Zheng, Haohuan Fu, and Le Yu. Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source gis data. Remote Sensing, 11(4):403, 2019. |
[SVI+16] | Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. Rethinking the inception architecture for computer vision. Proceedings of the IEEE conference on computer vision and pattern recognition, pages 2818–2826, 2016. |
[Van10] | Erik Vanmarcke. Random fields: analysis and synthesis. World Scientific, 2010. |
[WC18] | C Wang and Q Chen. A hybrid geotechnical and geological data-based framework for multiscale regional liquefaction hazard mapping. Géotechnique, 68(7):614–625, 2018. |
[WCSJ17] | Chaofeng Wang, Qiushi Chen, Mengfen Shen, and C Hsein Juang. On the spatial variability of cpt-based geotechnical parameters for regional liquefaction evaluation. Soil Dynamics and Earthquake Engineering, 95:153–166, 2017. |
[ZKJS18] | Kang Zhao, Jungwon Kang, Jaewook Jung, and Gunho Sohn. Building extraction from satellite images using mask r-cnn with building boundary regularization. CVPR Workshops, pages 247–251, 2018. |