activity
20192023
most citedAutomated building image extraction from 360° panoramas for postdisaster evaluation

53 citations · 67 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2023★ 3 cited

Deep generative models for unsupervised delamination detection using guided waves

Mahindra Rautela, Amin Maghareh, Shirley Dyke +1

With the rising demands for robust structural health monitoring procedures for aerospace structures, the scope of intelligent algorithms and learning techniques is expanding. Super…

eess.SP2022★ 6 cited

Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search

Mahindra Rautela, Motahareh Mirfarah, Christian Silva +3

The recent accelerated growth in space-related research and development activities makes the near-term need for long-term extraterrestrial habitats evident. Such habitats must oper…

eess.SY2019★ 2 cited

Estimating States for Nonlinear Systems Using the Particle Filter

Johnny Condori, Amin Maghareh, Shirley Dyke

Kalman filtering has been traditionally applied in three application areas of estimation, state estimation, parameter estimation (a.k.a. model updating), and dual estimation. Howev…

cs.SI2019

A Resilience-based Method for Prioritizing Post-event Building Inspections

Ali Lenjani, Ilias Bilionis, Shirley Dyke +2

Despite the wide range of possible scenarios in the aftermath of a disruptive event, each community can make choices to improve its resilience, or its ability to bounce back. A res…

cs.CV2019

Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion

Ali Lenjani, Shirley J. Dyke, Ilias Bilionis +5

In post-event reconnaissance missions, engineers and researchers collect perishable information about damaged buildings in the affected geographical region to learn from the conseq…

cs.CV2019★ 53 cited

Automated building image extraction from 360° panoramas for postdisaster evaluation

Ali Lenjani, Chul Min Yeum, Shirley Dyke +1

After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain new knowledge and extract lessons from the event. However, in many c…

cs.CV2019★ 3 cited

Automated Detection of Pre-Disaster Building Images from Google Street View

Chul Min Yeum, Ali Lenjani, Shirley J. Dyke +1

After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain lessons and gain knowledge from the event. Images of damaged buildin…