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

在全球范围内，建筑工程缺陷造成的损失高达数十亿美元，仅在英国，每年就高达100亿英镑。快速可靠地发现缺陷是避免或减少这些成本的关键。目前的测量/监测技术劳力密集，速度缓慢，容易重复错误。目前还没有解决方案可以对建筑项目内部进行自动调查，因为大多数问题都隐藏在那里（即使无人机可以在外部进行调查）。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、经济有效地验证最近建造的内部环境的准确性，以及其拟议的设计，以识别施工缺陷。这样的服务将为建筑行业，尤其是建筑承包商带来巨大的好处，因为相对较小的投资，它将有助于降低整体项目成本和风险，同时也有助于提高质量，客户信心和最终销售。

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.