Dimitrios Alexiou
Information Technologies Institute, Centre for Research and Technology Hellas
Papers
4
Total Citations
21
H-Index
4
About
Dimitrios Alexiou is a researcher advancing the frontiers of autonomous robotics and computer vision, with a focus on enabling machines to perceive and operate in complex, real-world environments. His work spans three critical domains: automated infrastructure inspection, construction robotics, and robust navigation. Alexiou made a notable contribution with the creation of the "WTA/TLA" dataset, the first UAV-captured benchmark for semantic segmentation of energy infrastructure, a resource that has garnered 8 citations and is pivotal for automating power grid monitoring. He has also pioneered a semantic 3D reconstruction system using stereo vision and deep learning for autonomous shotcrete construction, addressing labor shortages and safety hazards in the construction sector. In the realm of navigation, Alexiou has developed a robot active vision-based path planning method to improve localization in GPS-denied indoor environments, and a loop-closure detection technique using 3D LiDAR that remains robust under extreme viewpoint changes. His research, consistently published in high-impact venues, demonstrates a clear trajectory toward creating fully autonomous systems that can safely and efficiently operate in challenging, unstructured settings—from energy grids to construction sites.
Research Focus
Key Achievements
Top Papers
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- 4Loop-Closure Detection with 3D LiDAR Data for Extreme Viewpoint Changes4 citations · 2022