TY - GEN
T1 - Remote assessment of pre- And post-disaster critical physical infrastructures using mobile workstation chariot and D4AR models
AU - Golparvar-Fard, M.
AU - Thomas, J.
AU - Peña-Mora, F.
AU - Savarese, S.
N1 - Publisher Copyright:
© 2018 Esprit. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This paper presents a new technology and a systematic approach for disaster response and recovery of Critical Physical Infrastructures (CPIs). Our suggested approach is based on using a Mobile Workstation Chariot (MWC) assembled on Segway personal transporter which supports both horizontal and vertical real-time visual data capture and transmission flow, first responders and civil engineers can quickly traverse hazardous terrain, collect and transmit photographs/videos, and communicate with the command center in real-time. Using MWC wireless communication tools, first responders and civil engineers can access disaster-survivable black boxes allowing Building Information Models (BIM), pre-disaster photographs and operational information of buildings to be collected and communicated back to the command center. Finally at the command center, using sensed visual data and image-based reconstruction techniques, the post-disaster site is reconstructed in 3D. The resulting integrated representation of the post-disaster model and the collected photographs are superimposed over the pre-disaster BIM to generate a 4D Augmented Reality (D4AR) model. By integrated representation of pre-disaster and post-disaster information, the D4AR allows damages, safety and stability of the CPIs as well as possible rescue operation routings and plans to be assessed. Critical information for disaster response and recovery can be analyzed and communicated back to the field easily and quickly. We present preliminary results of our experiments for collecting, analyzing, and visualizing sensed data using the MWC as well as the D4AR. These results demonstrate a great potential for application of MWC and D4AR for disaster response and recovery operations. The limitation and benefits of this approach plus further required developments are discussed.
AB - This paper presents a new technology and a systematic approach for disaster response and recovery of Critical Physical Infrastructures (CPIs). Our suggested approach is based on using a Mobile Workstation Chariot (MWC) assembled on Segway personal transporter which supports both horizontal and vertical real-time visual data capture and transmission flow, first responders and civil engineers can quickly traverse hazardous terrain, collect and transmit photographs/videos, and communicate with the command center in real-time. Using MWC wireless communication tools, first responders and civil engineers can access disaster-survivable black boxes allowing Building Information Models (BIM), pre-disaster photographs and operational information of buildings to be collected and communicated back to the command center. Finally at the command center, using sensed visual data and image-based reconstruction techniques, the post-disaster site is reconstructed in 3D. The resulting integrated representation of the post-disaster model and the collected photographs are superimposed over the pre-disaster BIM to generate a 4D Augmented Reality (D4AR) model. By integrated representation of pre-disaster and post-disaster information, the D4AR allows damages, safety and stability of the CPIs as well as possible rescue operation routings and plans to be assessed. Critical information for disaster response and recovery can be analyzed and communicated back to the field easily and quickly. We present preliminary results of our experiments for collecting, analyzing, and visualizing sensed data using the MWC as well as the D4AR. These results demonstrate a great potential for application of MWC and D4AR for disaster response and recovery operations. The limitation and benefits of this approach plus further required developments are discussed.
KW - 4D
KW - Augmented reality
KW - Disaster preparedness
KW - Mobile workstation
KW - Response and recovery
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M3 - Conference contribution
AN - SCOPUS:85083945057
T3 - EG-ICE 2010 - 17th International Workshop on Intelligent Computing in Engineering
BT - EG-ICE 2010 - 17th International Workshop on Intelligent Computing in Engineering
A2 - Tizani, Walid
PB - Nottingham
T2 - 17th International Workshop on Intelligent Computing in Engineering, EG-ICE 2010
Y2 - 30 June 2010 through 2 July 2010
ER -