most citedAutomated Detection of Pre-Disaster Building Images from Google Street View

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY20192 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

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.CV20193 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…