Lorenzo Garcia-Tena

Papers

Total Citations

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About

Lorenzo Garcia-Tena is a researcher at the forefront of intelligent infrastructure monitoring, with a primary focus on autonomous road surface inspection. His most-cited work, "Intelligent road surface autonomous inspection" (2023), introduces innovative methodologies for leveraging computer vision and machine learning to detect and classify road defects in real time, significantly enhancing the efficiency and safety of transportation networks. Though early in his career, this paper has already garnered 2 citations, signaling growing recognition within the civil engineering and smart city communities. Garcia-Tena’s contributions lie in bridging the gap between advanced sensing technologies and practical, scalable solutions for infrastructure maintenance. His research is particularly notable for its potential to reduce manual inspection costs and improve road safety through automated, data-driven approaches. As a rising scholar, Garcia-Tena’s work is poised to influence the next generation of intelligent transportation systems, making him a valuable voice for students and researchers interested in the intersection of artificial intelligence, civil engineering, and sustainable urban development.