Simultaneous Localisation and Aerial Mapping in the Built Environment (SLAMBE)

建筑环境中的同步定位和航空测绘 (SLAMBE)

• 批准号: 102911
• 金额: $ 37.24万
• 依托单位: SEESAI LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=102911
• 关键词: Simultaneous; Localisation; Aerial; Mapping; Built

Defects in construction work cost billions globally and >£9bn / year in Great Britain alone. Spotting defects quickly and reliably is key to avoiding or reducing these costs. Current surveying/monitoring techniques are labour-intensive, slow and prone to repeating errors. No solution currently exists to autonomously survey the inside of a construction project, where most problems are hidden (even if drones can do so externally). In this project we propose developing an autonomous drone-based solution that can quickly, cost-effectively and reliably verify accuracy of a recently built internal environment with respect to its proposed design, in order to identify construction defects. Such a service will offer big benefits to the construction industry and building contractors in particular, because, for a relatively small investment, it will help lower overall project costs and risk, while also helping increase quality, client confidence and ultimately sales.

建筑工程的缺陷在全球造成数十亿英镑的损失，仅在英国每年就造成90亿英镑的损失。快速可靠地发现缺陷是避免或降低这些成本的关键。目前的测量/监测技术是劳动密集型的，速度慢，而且容易重复错误。目前还不存在自主调查建筑项目内部的解决方案，因为大多数问题都隐藏在那里(即使无人机可以在外部这样做)。在这个项目中，我们建议开发一种基于自主无人机的解决方案，该解决方案可以快速、经济高效和可靠地验证最近建造的内部环境相对于其拟议设计的准确性，以便识别建筑缺陷。这样的服务将为建筑业，特别是建筑承包商带来巨大的好处，因为对于相对较小的投资，它将有助于降低整体项目成本和风险，同时还有助于提高质量、客户信心和最终的销售。