Javier Prada Delgado

Papers

Total Citations

H-Index

About

Javier Prada Delgado is a researcher specializing in the intersection of unmanned aerial vehicles (UAVs) and geospatial engineering, with a primary focus on structural inspection and mapping. His work centers on developing innovative methodologies that integrate UAV technology with precision surveying instruments to enhance the efficiency and accuracy of infrastructure assessment. His most-cited paper, "Bridge Mapping for Inspection Using an UAV Assisted by a Total Station" (2017), demonstrates a pioneering approach to bridge inspection by combining drone-based imaging with total station measurements for high-fidelity structural mapping. This work, with 8 citations, has contributed to the growing field of non-destructive testing and remote sensing for civil engineering, offering a safer and more cost-effective alternative to traditional manual inspections. Delgado’s research addresses critical challenges in infrastructure monitoring, particularly for aging bridges and hard-to-reach structures. His contributions are valuable for students and practitioners in civil engineering, geomatics, and robotics, providing a practical framework for leveraging UAVs in real-world inspection tasks. Through his work, Delgado helps advance the integration of autonomous systems into structural health monitoring, underscoring the potential of aerial robotics to transform infrastructure maintenance.