ARIA Team (2015). "The Aerial Robotic Infrastructure Analyst (ARIA) project." <http://aria.ri.cmu.edu/>.
Blo, x, sch, M, Weiss, S, Scaramuzza, D, and Siegwart, R. “Vision based MAV navigation in unknown and unstructured environments.” Proc., Robotics and Automation (ICRA), 2010 IEEE International Conference on, Piscataway, NJ. 21-28.
Cho, YK, Ham, Y, & Golpavar-Fard, M. (2015). 3D as-is building energy modeling and diagnostics: A review of the state-of-the-art. Advanced Engineering Informatics, 29(2), 184–195.
DJI (2015). “DJI Pilot version 1.2.0.”, <http://www.dji.com/product/phantom-3/pilot-app>.
Dobson, RJ., Brooks, C, Roussi, C, and Colling, T. “Developing an unpaved road assessment system for practical deployment with high-resolution optical data collection using a helicopter UAV.” Proc., Unmanned Aircraft Systems (ICUAS), 2013 International Conference on, Piscataway, NJ. 235-243.
ENR (2015). “Drones: A Gateway Technology to Full Site Automation.”
Eschmann, C, Kuo, C-M, Kuo, C-H, and Boller, C. “Unmanned aircraft systems for remote building inspection and monitoring.” Proc., 6th European workshop on structural health monitoring.
Fernandez Galarreta, J, Kerle, N, & Gerke, M. (2015). UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning. Natural Hazards and Earth System Sciences, 15(6), 1087–1101.
Fiorillo, F, Jiménez, B., Remondino, F, & Barba, S. (2012). 3D surveying and modeling of the archaeological area of Paestum, Italy. Virtual Archaeol Rev, 4, 55–60.
Gao, J, Yan, Y, and Wang, C. “Research on the Application of UAV Remote Sensing in Geologic Hazards Investigation for Oil and Gas Pipelines.” Proc., ICPTT 2011, Beijing, China. 381-390.
Gheisari, M, Irizarry, J, and Walker, B. “UAS4SAFETY: The Potential of Unmanned Aerial Systems for Construction Safety Applications.” Proc., Construction Research Congress 2014, Reston, VA. 1801-1810.
Han, K, Lin, J, and Golparvar-Fard, M. “A Formalism for Utilization of Autonomous Vision-Based Systems and Integrated Project Models for Construction Progress Monitoring.” Proc., 2015 Conference on Autonomous and Robotic Construction of Infrastructure.
Irizarry, J, Gheisari, M, & Walker, B. (2012). Usability Assessment of Drone Technology as Safety Inspection Tools. Journal of Information Technology in Construction, 17, 194–212.
Karsch, K., Golparvar-Fard, M., and Forsyth, D. “ConstructAide: Analyzing and visualizing construction sites through photographs and building models.” Proc., ACM Transactions on Graphics.
Kerle, N, Fernandez Galarreta, J, and Gerke, M. “Urban structural damage assessment with oblique UAV imagery, object-based image analysis and semantic reasoning.” Proc., 35th Asian conference on remote sensing.
Kluckner, S, Birchbauer, J-A, Windisch, C, Hoppe, C, Irschara, A, Wendel, A, Zollmann, S, Reitmayr, G, and Bischof, H. “AVSS 2011 demo session: Construction site monitoring from highly-overlapping MAV images.” Proc., Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on, Piscataway, NJ. 531-532.
Lin, J, Han, K, Fukuchi, Y, Eda, M, and Golparvar-Fard, M (2015a). “Model based Monitoring of work in progress via Images Taken by Camera equipped UAV and BIM.” Proc., 2015 International Conference on Civil and Building Engineering Informatics.
Lin, J, Han, K, & Golparvar-Fard, M. (2015). 2015. Proc, Computing in Civil Engineering, 2015, Reston, VA. 156–164.
Liu, P, Chen, AY, Huang, YN, Han, JY, Lai, JS, Kang, SC, et al. (2014). A Review of Rotorcraft Unmanned Aerial Vehicle (UAV) Developments and Applications in Civil Engineering. Smart Structures and Systems. Smart Structures and Systems, 13(6), 1065–1094.
Loianno, G, Thomas, J, and Kumar, V. “Cooperative localization and mapping of MAVs using RGB-D sensors.” Proc., Robotics and Automation (ICRA), 2015 IEEE International Conference on, Piscataway, NJ. 4021-4028.
Lui, V, and Drummond, T. “Image based optimisation without global consistency for constant time monocular visual SLAM.” Proc., Robotics and Automation (ICRA), 2015 IEEE International Conference on, Piscataway, NJ. 5799-5806.
Matsuoka, R, Nagusa, I, Yasuhara, H, Mori, M, Katayama, T, Yachi, N, et al. (2012). Measurement of large-scale solar power plant by using images acquired by non-metric digital camera on board UAV. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B1, 435–440.
Michael, N, Shen, S, Mohta, K, Kumar, V, Nagatani, K, Okada, Y, Kiribayashi, S, Otake, K, Yoshida, K, Ohno, K, Takeuchi, E, and Tadokoro, S. (2014). “Collaborative Mapping of an Earthquake Damaged Building via Ground and Aerial Robots.” Field and Service Robotics, K. Yoshida, and S. Tadokoro, eds., Toronto, Canada: Springer Berlin Heidelberg, 33-47.
Oskouie, P, Becerik-Gerber, B, & Soibelman, L. (2015). A Data Quality-Driven Framework for Asset Condition Assessment Using LiDAR and Image Data. Computing in Civil Engineering, 2015, 240–248.
Pătrăucean, V, Armeni, I, Nahangi, M, Yeung, J, Brilakis, I, & Haas, C. (2015). State of research in automatic as-built modelling. Advanced Engineering Informatics, 29(2), 162–171.
Qin, R. (2014). An Object-Based Hierarchical Method for Change Detection using georeferenced UAV images. Remote Sensing, 6, 7911–7932.
Siebert, S, & Teizer, J. (2014). Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41, 1–14.
Son, H, Bosché, F, & Kim, C. (2015). As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: A survey. Advanced Engineering Informatics, 29(2), 172–183.
Teizer, J. (2015). Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites. Advanced Engineering Informatics, 29(2), 225–238.
Vetrivel, A, Gerke, M, Kerle, N, and Vosselman, G. “Segmentation of UAV based images incorporating 3D point cloud information.” Proc., PIA15 + HRIGI15: Joint ISPRS conference
Wefelscheid, C, Hansch, R, & Hellwich, O. (2011). Three-dimensional building reconstruction using images obtained by unmanned aerial vehicles. ISPRS – Int Arch Photogramm Remote Sens Spatial Inform Sci, XXXVIII-1/C22, 183–188.
Wen, M-C, and Kang, S-C. “Augmented Reality and Unmanned Aerial Vehicle Assist in Construction Management.” Proc., Computing in Civil and Building Engineering (2014), Reston, VA. 1570-1577.
Xie, F, Lin, Z, Gui, D, & Lin, H. (2012). Study on construction of 3D building based on UAV images. ISPRS – Int Arch Photogramm Remote Sens Spatial Inform Sci, XXXIX-B1, 469–473.
Yamamoto, T, Kusumoto, H, and Banjo, K. “Data Collection System for a Rapid Recovery Work: Using Digital Photogrammetry and a Small Unmanned Aerial Vehicle (UAV).” Proc., Computing in Civil and Building Engineering (2014), Reston, VA. 875-882.
Yang, J, Park, M-W, Vela, P A, & Golparvar-Fard, M (2015). Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future. Advanced Engineering Informatics, 29(2), 211–224.
Ye, S, Nourzad, S, Pradhan, A, Bartoli, I, and Kontsos, A. “Automated Detection of Damaged Areas after Hurricane Sandy using Aerial Color Images.” Proc., Computing in Civil and Building Engineering (2014), Reston, VA. 1796-1803.
Zhang, C, & Elaksher, A. (2012). An Unmanned Aerial Vehicle-Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses1. Computer-Aided Civil and Infrastructure Engineering, 27(2), 118–129.
Zhang, J, and Singh, S. “LOAM: Lidar Odometry and Mapping in Real-time.” Proc., Robotics: Science and Systems Conference (RSS 2014).
Zollmann, S, Kalkofen, D, Hoppe, C, Kluckner, S, Bischof, H, and Reitmayr, G. “Interactive 4D Overview and Detail Visualization in Augmented Reality.” Proc., IEEE International Symposium on Mixed and Augmented Reality (2012).
Zollmann, S, Hoppe, C, Kluckner, S, Poglitsch, C, Bischof, H, & Reitmayr, G. (2014). Augmented Reality for Construction Site Monitoring and Documentation. Proceedings Of the IEEE, 102(2), 137–154.