- Technologies and Platforms for Remote and Autonomous Bridge Inspection – Review. In: Structural Engineering International. :
- Vision-based navigation planning for autonomous post-earthquake inspection of reinforced concrete railway viaducts using unmanned aerial vehicles. In: Automation in Construction, v. 137 (May 2022). (2022):
- Bayesian inference of dense structural response using vision-based measurements. In: Engineering Structures, v. 256 (April 2022). (2022):
- Efficient development of vision-based dense three-dimensional displacement measurement algorithms using physics-based graphics models. In: Structural Health Monitoring, v. 20, n. 4 (April 2021). (2021):
- Rapid postearthquake safety evaluation of buildings using sparse acceleration measurements. In: Structural Health Monitoring, v. 20, n. 4 (April 2021). (2021):
- Deep Bayesian neural networks for damage quantification in miter gates of navigation locks. In: Structural Health Monitoring, v. 19, n. 5 (October 2019). (2019):
- MaDnet: multi-task semantic segmentation of multiple types of structural materials and damage in images of civil infrastructure. In: Journal of Civil Structural Health Monitoring, v. 10, n. 5 (September 2020). (2020):
- Vision‐based automated bridge component recognition with high‐level scene consistency. In: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 5 (May 2020). (2020):
- Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles. In: Journal of Structural Engineering (ASCE), v. 145, n. 7 (July 2019). (2019):
- Free vibration-based system identification using temporal cross-correlations. In: Structural Control and Health Monitoring, v. 25, n. 8 (August 2018). (2018):