Seeing through Disaster Rubble in 3D with Ground-Penetrating Radar and Interactive Augmented Reality for Urban Search and Rescue
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Article number | 04022021 |
Journal / Publication | Journal of Computing in Civil Engineering |
Volume | 36 |
Issue number | 5 |
Online published | 29 Jun 2022 |
Publication status | Published - Sept 2022 |
Externally published | Yes |
Link(s)
Abstract
First responders often lack information and visual clues regarding interior spaces in disaster rubble, preventing efficient, effective, and safe search and rescue for victims trapped in collapsed structures. Rapidly detecting and acquiring information about the voids in collapsed structures that could contain surviving victims is critical for urban search and rescue. However, reconstructing the buried voids in three dimensions (3D) and communicating the relevant information such as buried depth and void size to first responders remain significant challenges. In response, this study proposes a see-through technique by integrating ground-penetrating radar (GPR) with interactive augmented reality (AR). The contribution of this study is twofold. First, a new method is developed to process collected GPR data to reconstruct potential voids in disaster rubble in 3D and extract the buried depth and void size from the GPR data. The coordinates of void boundaries are extracted from multiple GPR scans to generate sparse point clouds. An improved alpha-shape method is exploited to reconstruct the 3D space beneath disaster rubble from the point clouds. Second, an interactive augmented reality interface is developed to enable first responders to visualize the voids in collapsed structures in 3D together with relevant information to assist urban search and rescue. The results from simulations and pilot experiments demonstrate the feasibility and potential of the proposed methods. © 2022 American Society of Civil Engineers.
Research Area(s)
- Augmented reality (AR), Disaster, Ground penetrating radar (GPR), Subsurface reconstruction, Urban search and rescue
Citation Format(s)
Seeing through Disaster Rubble in 3D with Ground-Penetrating Radar and Interactive Augmented Reality for Urban Search and Rescue. / Hu, Da; Chen, Long; Du, Jing et al.
In: Journal of Computing in Civil Engineering, Vol. 36, No. 5, 04022021, 09.2022.
In: Journal of Computing in Civil Engineering, Vol. 36, No. 5, 04022021, 09.2022.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review