Scholarlink

This work presents a new Augmented Reality tool designed for HoloLens 2 that, through real-time on-site scanning, allows for the labeling of defects in civil engineering structures (such as cracks, delamination, patching, etc.). Moreover, the tool enables the assignment of Global Navigation Satellite System coordinates for geo-referencing the created geometric labels. All this information is then exported to an interoperable, Open Geospatial Consortium standardized format, compatible with Geographic Information Systems and Building Information Modeling software. This facilitates the visualization of the position, extent, and geometry of defects, as well as images captured during data collection, providing insight into the actual condition of the materials. The tool also enhances documentation and traceability over time, supporting predictive maintenance strategies. This tool can be very highly beneficial for civil engineers, enabling more efficient inspections, reducing human error, and streamlining the integration of field data into digital twin environments.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Augmented Reality for Damage Management with Geometric Shapes

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Daniel Salgado-Fernández,
  • Jesús Balado,
  • Sofía Calvar,
  • Mercedes Solla

摘要

This work presents a new Augmented Reality tool designed for HoloLens 2 that, through real-time on-site scanning, allows for the labeling of defects in civil engineering structures (such as cracks, delamination, patching, etc.). Moreover, the tool enables the assignment of Global Navigation Satellite System coordinates for geo-referencing the created geometric labels. All this information is then exported to an interoperable, Open Geospatial Consortium standardized format, compatible with Geographic Information Systems and Building Information Modeling software. This facilitates the visualization of the position, extent, and geometry of defects, as well as images captured during data collection, providing insight into the actual condition of the materials. The tool also enhances documentation and traceability over time, supporting predictive maintenance strategies. This tool can be very highly beneficial for civil engineers, enabling more efficient inspections, reducing human error, and streamlining the integration of field data into digital twin environments.