Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works Y Ham, KK Han, JJ Lin, M Golparvar-Fard
Visualization in Engineering 4, 1-8, 2016
593 2016 D4AR–a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication M Golparvar-Fard, F Peña-Mora, S Savarese
Journal of Information Technology in Construction (ITcon) 14, 129-153, 2009
482 2009 Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques M Golparvar-Fard, J Bohn, J Teizer, S Savarese, F Peña-Mora
Automation in construction 20 (8), 1143-1155, 2011
478 2011 Automated progress monitoring using unordered daily construction photographs and IFC-based building information models M Golparvar-Fard, F Pena-Mora, S Savarese
Journal of Computing in Civil Engineering 29 (1), 04014025, 2015
476 2015 Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs M Golparvar-Fard, F Peña-Mora, CA Arboleda, SH Lee
Journal of computing in civil engineering 23 (6), 391-404, 2009
382 2009 Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future J Yang, MW Park, PA Vela, M Golparvar-Fard
Advanced Engineering Informatics 29 (2), 211-224, 2015
371 2015 Enhancing construction hazard recognition with high-fidelity augmented virtuality A Albert, MR Hallowell, B Kleiner, A Chen, M Golparvar-Fard
Journal of Construction Engineering and Management 140 (7), 04014024, 2014
338 2014 Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers M Golparvar-Fard, A Heydarian, JC Niebles
Advanced Engineering Informatics 27 (4), 652-663, 2013
331 2013 Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors M Memarzadeh, M Golparvar-Fard, JC Niebles
Automation in Construction 32, 24-37, 2013
315 2013 Appearance-based material classification for monitoring of operation-level construction progress using 4D BIM and site photologs K Han, M Golparvar-Fard
Automation in Construction 53, 44-57, 2015
307 2015 Target‐free approach for vision‐based structural system identification using consumer‐grade cameras H Yoon, H Elanwar, H Choi, M Golparvar‐Fard, BF Spencer Jr
Structural Control and Health Monitoring 23 (12), 1405-1416, 2016
303 2016 Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections A Dimitrov, M Golparvar-Fard
Advanced Engineering Informatics 28 (1), 37-49, 2014
296 2014 Potential of big visual data and building information modeling for construction performance analytics: An exploratory study KK Han, M Golparvar-Fard
Automation in construction 73, 184-198, 2017
285 2017 Four-dimensional augmented reality models for interactive visualization and automated construction progress monitoring M Golparvar-Fard, FA Peña-Mora, S Savarese
US Patent 9,070,216, 2015
275 2015 Integrated Sequential As-Built and As-Planned Representation with M Golparvar-Fard, F Peña-Mora, S Savarese
Journal of Construction Engineering and Management 137 (12), 1099-1116, 2011
269 2011 Image-based automated 3D crack detection for post-disaster building assessment MM Torok, M Golparvar-Fard, KB Kochersberger
Journal of Computing in Civil Engineering 28 (5), A4014004, 2014
241 2014 Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling Y Ham, M Golparvar-Fard
Automation in Construction 49, 214-224, 2015
238 2015 Segmentation of building point cloud models including detailed architectural/structural features and MEP systems A Dimitrov, M Golparvar-Fard
Automation in Construction 51, 32-45, 2015
232 2015 High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications H Bae, M Golparvar-Fard, J White
Visualization in Engineering 1, 1-13, 2013
213 2013 Automated methods for activity recognition of construction workers and equipment: State-of-the-art review B Sherafat, CR Ahn, R Akhavian, AH Behzadan, M Golparvar-Fard, H Kim, ...
Journal of Construction Engineering and Management 146 (6), 03120002, 2020
205 2020 
Feniosky Pena-MoraColumbia University, Tecnologico de MonterreyEmail yang diverifikasi di columbia.edu
