Papers
11
Total Citations
510
H-Index
8
About
Nikolaos Doulamis is a leading researcher at the intersection of computer vision, deep learning, and autonomous robotics, with a primary focus on infrastructure inspection and urban search and rescue. His most impactful work centers on developing intelligent robotic systems for the automated detection of structural defects, particularly cracks and rust in tunnels and roads. His landmark 2019 paper, "Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing," has garnered 171 citations, establishing a foundational approach that combines convolutional neural networks with fuzzy spectral clustering for real-time, low-visibility environments. Doulamis has pioneered the integration of residual attention U-Net architectures for precise localization and classification of metal rust defects, achieving 68 citations for his 2022 work. Beyond infrastructure, he has contributed to humanitarian robotics, notably developing a system for human object detection using very low-resolution thermal cameras for urban search and rescue (27 citations). He is a key figure in the HERON Project, which advances robotic maintenance of road infrastructures. With over 500 cumulative citations across his top papers, Doulamis’s work directly enhances the safety, efficiency, and autonomy of critical civil infrastructure monitoring and disaster response.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous robotic system for tunnel structural inspection and assessment99 citations · 2017
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- 5
- 6AUTONOMOUS ROBOTIC INSPECTION IN TUNNELS32 citations · 2016
- 7
- 8Robotic Maintenance of Road Infrastructures: The HERON Project27 citations · 2022
- 9
- 10Robotic Maintenance of Road Infrastructures: The HERON Project3 citations · 2022