Rapid automated damage detection with autonomous robots (RAD²AR)

Northeastern University

Northeastern University

Simpson Gumpertz & Heger

PNWER

Publications


Refereed Papers in Journals

Yan, Y., Mao, Z., Wu, J., Padir, T., and Hajjar, J. F. (2021). “Towards Automated Detection and Quantification of Concrete Cracks using Integrated RGB Images and Lidar Data from Unmanned Aircraft System,” Structural Control and Health Monitoring, Vol. 28, No. 8, August, Paper No. e2757. (https://dx.doi.org/10.1002/stc.2757)

Yan, Y. and Hajjar, J. F. (2021). “Automated Extraction of Structural Elements in Steel Girder Bridges from Laser Point Clouds,” Automation in Construction, Vol. 125, May, Paper No. 103582. (https://doi.org/10.1016/j.autcon.2021.103582)

Güldür Erkal, B. and Hajjar, J. F. (2017). “Laser-Based Surface Damage Detection and Quantification Using Predicted Surface Properties,” Automation in Construction, Vol. 83, November, pp. 285-302. (http://dx.doi.org/10.1016/j.autcon.2017.08.004)

Walsh, S. B., Borello, D. J., Guldur, B., and Hajjar, J. F. (2013). “Data Processing of Point Clouds for Object Detection for Structural Engineering Applications,” Computer-Aided Civil and Infrastructure Engineering, Vol. 28, Issue 7, August, pp. 495-508. (http://dx.doi.org/10.1111/mice.12016)


Papers in Conference Proceedings

Mao, Z., Yan, Y., Wu, J., Hajjar, J. F., and Padir, T. (2019). “Automated Damage Assessment of Critical Infrastructure Using Online Mapping Technique with Small Unmanned Aircraft Systems,” 2019 IEEE International Conference on Technologies for Homeland Security, Woburn, Massachusetts, November 5-6, 2019.

Mao, Z., Yan, Y., Wu, J., Hajjar, J. F., and Padır, T. (2018). “Towards Automated Post-Disaster Damage Assessment of Critical Infrastructure with Small Unmanned Aircraft Systems,” 2018 IEEE International Conference on Technologies for Homeland Security, Waltham, Massachusetts, October 23-24, 2018.

Yan, Y. Güldür, B., and Hajjar, J. F. (2017). “Automated Structural Modelling of Bridges from Laser Scanning,” Proceedings of the 2017 SEI Structures Congress, Denver, Colorado, April 5-7, 2017, American Society of Civil Engineers, Reston, Virginia.

Guldur, B. and Hajjar, J. F. (2016). “Automated Classification of Detected Surface Damage from Point Clouds with Supervised Learning,” Proceedings of the 33rd International Symposium on Automation and Robotics in Construction (ISARC 2016), Auburn, Alabama, July 18-21, 2016, Auburn University, Auburn, Alabama.

Yan, Y., Guldur, B., Yoder, L., Kasireddy, V., Huber, D., Scherer, S., Akinci, B., and Hajjar, J. F. (2016).  “Automated Damage Detection and Structural Modelling with Laser Scanning,” Proceedings of the Structural Stability Research Council Annual Stability Conference, Orlando, Florida, April 12-15, 2016, Structural Stability Research Council, Chicago, Illinois.

Guldur, B. and Hajjar, J. F. (2015).  “Laser-based Condition Assessment Assistant for Bridges,” Proceedings of the 2015 International Symposium on Non-Destructive Testing in Civil Engineering, Berlin, Germany, September 15-17, 2015.

Guldur, Burcu, Yujie Yan, and Jerome F. Hajjar. “Condition Assessment of Bridges Using Terrestrial Laser Scanners.” Structures Congress 2015. ASCE, 2015.

Guldur, B. and Hajjar, J. F. (2014). “Automated Damage Assessment from 3-D Laser Scans,” Proceedings of the 2014 Istanbul Bridge Conference, Istanbul, Turkey, August 11-13, 2014, Middle East Technical University, Ankara, Turkey.

Guldur, B. and Hajjar, J. F. (2014).  “Damage Detection on Structures Using Texture Mapped Laser Point Clouds,” Proceedings of the ASCE/SEI Structures Congress 2014, Boston, Massachusetts, April 3-5, 2014.

Guldur, B. and Hajjar, J. F. (2013).  “Laser-based Automatic Cross-Sectional Change Detection for Steel Frames,” Proceedings of the 9th International Workshop on Structural Health Monitoring 2013, Stanford, California, September 10-12, 2013, Stanford University, Stanford, California.


Technical RepORts

Guldur, B. and Hajjar, J. F. (2014). “Laser-Based Structural Sensing and Surface Damage Detection,” Report No. NEU-CEE-2014-03, Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, August, 375 pp.