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‘Infinite’ Navigation by XYZ Reality

‘Infinite’ Navigation by XYZ Reality
– 无限 – XYZ Reality 导航
批准号:
10099649
负责人:
金额:
$44.43万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

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中文摘要
翻译
英国建筑业每年浪费50亿英镑纠正超出容忍度的建筑错误。在目前的监控实践中,这些错误通常要到几周后才能被检测到,到那时,任何问题都可能变得复杂,而且纠正起来成本高昂。XYZ Reality正在将高精度增强现实(AR)引入建筑工地,使所有利益相关者能够从同一个数字3D模型开始工作,以“第一次正确地建造它”。我们之前已经开发了Atom,这是一款集成到标准安全头盔中的可穿戴AR耳机。它允许实时现场监控和验证,这意味着可以防止或快速检测和纠正建筑错误。我们独特的3D工作流程被认为是“建筑的圣杯”,使开发人员能够以更快的速度和更低的成本建造。实时导航和测量创建了一个真正的数字工地,对超出容差的误差进行了简化的监控和记录,减少了当前浪费的低效率和负面的经济和环境影响。当前的AR系统依赖于固定的激光跟踪信标进行定位,以允许以所需的毫米级精度导航大型建筑工地。跟踪激光的初始安装和校准增加了最终用户的成本,并限制了兼容位置的数量。该项目将开发一种大大改进的AR头盔,它具有自主功能,集成来自机载传感器和数字建筑模型的数据,以实时精确导航和记录任何建筑工地。为了实现这一目标,我们的目标是通过开发与可穿戴设备中的实施兼容的新硬件配置和先进算法,克服实时数据融合、计算机视觉和机器学习方面的重大挑战。这将使施工经理能够准确和自动地记录和记录任何施工过程中的竣工进度。它有效地合并了工地和办公室,为管理人员节省了宝贵的时间,方便了保险索赔,减少了法律挑战,并为建设利益相关者提供了准确的投资回报量化。
英文摘要
The UK construction industry wastes £5bn every year correcting out-of-tolerance building errors. With current monitoring practices, these errors are usually not detected until weeks later, by which time any problems can become compounded and prove expensive to rectify.XYZ Reality is bringing high-precision augmented reality (AR) to construction sites, enabling all stakeholders to work from the same digital 3D model to 'build it right, first time'. We have previously developed 'Atom', a wearable AR headset integrated into a standard safety helmet. It allows real-time onsite monitoring and validation, meaning that building errors can either be prevented or quickly detected and corrected.Our unique 3D workflow is considered a 'holy grail of construction', enabling developers to build quicker and at lower cost. Real-time navigation and measurement create a truly digital construction site with streamlined monitoring and documentation of out-of-tolerance errors, reducing current wasteful inefficiencies with negative economic and environmental impacts.The current AR system relies on fixed laser tracking beacons for positioning, to allow navigation of large construction sites with the required millimetre-level accuracy. Initial installation and calibration of tracking lasers increases end-user costs and limits the number of compatible locations.This project will develop a vastly improved AR helmet that functions autonomously, integrating data from onboard sensors and digital building models to precisely navigate and document any construction site in real time. To achieve this, we aim to overcome significant challenges in real-time data fusion, computer vision and machine learning by developing new hardware configurations and advanced algorithms compatible with implementation in a wearable device.This will enable construction managers to accurately and automatically record and document as-built progress throughout any build. It effectively merges the site and office, saving valuable time for managers and facilitating insurance claims, reducing legal challenges, and enabling accurate quantification of return-on-investment for construction stakeholders.
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e-Navigation下陆基非理想环境船舶定位新方法研究
  • 批准号:
    61501079
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2015
  • 负责人:
    姜毅
  • 依托单位: