I-Corps: Automated As-is Facade Modeling of High-rise Buildings Using Drones and Artificial Intelligence

I-Corps：使用无人机和人工智能对高层建筑进行自动化立面建模

• 批准号: 2224104
• 负责人: Yong Bai
• 金额: $ 5万
• 依托单位: Marquette University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-15 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224104&HistoricalAwards=false
• 关键词: Corps; Automated; Facade; Modeling; rise

The broader impact/commercial potential of this I-Corps project is the development of a high-rise building façade inspection technology. The new techology is based on the development of an automated, high-rise building façade modeling technology that uses drones and artificial intelligence (AI) algorithms. The application has financial promise because it addresses the deterioration of building infrastructure. The proposed project may improve building inspection, maintenance, renovation, and repair while also educating and training the next generation of skilled workers. This I-Corps project is based on the development of an automated, as-is, high-rise building façade modeling technology using drones and artificial intelligence (AI) algorithms. To begin, a drone with a spiral path is employed to capture building exterior images and photogrammetry is used to conduct 3D reconstructions and create mesh models for the scanned building façades. High-resolution façade orthoimages are generated from mesh models and pixelwise segmented by an AI model. A combined data augmentation strategy, including random flipping, rotation, resizing, perspective transformation and color adjustment, is utilized for model training with few labels. The developed technology may transform the way that high-rise building façades will be inspected. Missing façade drawings may be reproduced for maintenance, renovation, and repair operations. This technology may improve communication among building owners, design firms, contractors, material suppliers, and financial institutions while speeding up the design, approval, finance, construction and inspection processes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目更广泛的影响/商业潜力是开发高层建筑立面检测技术。这项新技术基于一种自动化高层建筑立面建模技术的开发，该技术使用无人机和人工智能（AI）算法。 该应用程序具有财务前景，因为它解决了建筑基础设施的恶化问题。拟议的项目可以改善建筑物的检查，维护，翻新和维修，同时也教育和培训下一代技术工人。这个I-Corps项目基于使用无人机和人工智能（AI）算法开发自动化的高层建筑立面建模技术。开始，采用具有螺旋路径的无人机来捕获建筑物外部图像，并使用摄影测量来进行3D重建并为扫描的建筑物立面创建网格模型。高分辨率立面正射图像是从网格模型生成的，并由AI模型逐像素分割。采用随机翻转、旋转、平移、透视变换和颜色调整等组合数据增强策略，训练标签较少的模型。开发的技术可能会改变高层建筑立面的检查方式。 缺失的立面图纸可以复制用于维护、翻新和维修操作。这项技术可以改善建筑业主、设计公司、承包商、材料供应商和金融机构之间的沟通，同时加快设计、审批、融资、施工和检查流程。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。