Papers

6

Total Citations

106

H-Index

5

About

Olga Duran is a researcher whose work bridges civil infrastructure, robotics, and engineering education. Her primary research areas include automated visual inspection for urban pipeline networks, robotic systems, and technology-enhanced pedagogy. Duran’s most significant contributions lie in developing intelligent, image-processing-based methods to replace subjective, human-dependent sewer and pipe inspection techniques. Her seminal 2003 paper, “Automated sewer pipe inspection through image processing” (57 citations), introduced an innovative approach to assess pipe conditions from CCTV footage, directly addressing the limitations of standard, offline video analysis. She further advanced this field with her 2012 work on corrosion inspection using digital image processing (23 citations), which tackled the subjectivity and error inherent in traditional methods. Beyond infrastructure, Duran has explored robotic implementations for teaching fuzzy logic control and developed technology-centred methods to introduce programming and robotics concepts, demonstrating a commitment to engineering education. Her work also extends to biomechanics, with a kinematic analysis of the human thumb. With a career spanning applied computer vision, robotics, and pedagogy, Duran’s research has provided practical, automated solutions for critical urban infrastructure monitoring.

Research Focus

Key Achievements

5
H-Index
6
Papers
106
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Automated sewer pipe inspection through image processing
57 citations · 2003
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: King's College School, Kingston University, King's College London

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago