Research output per year
Research output per year
Personal profile
Research Focus
I am currently a research fellow in the W-Tech Centre working on Intelligent Infrastructure Monitoring. This research will potentially lead to improved safety and reduced maintenance costs as early detection of infrastructure damage results in a reduction of repair cost. The research involves applying Deep Learning & Computer Vision to enhance road monitoring and bridge damage detection. My previous research involved developing a time synchronised vehicle classification and multipoint displacement monitoring system for bridge structures.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Darragh Lydon is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bridge Damage Detection Approach Using a Roving Camera Technique
Lydon, D., Lydon, M., Kromanis, R., Dong, C-Z., Catbas, N. & Taylor, S., 10 Feb 2021, In: Sensors (Basel, Switzerland). 21, 4, 21 p., 1246.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)43 Downloads (Pure) -
Understanding the barriers to NET-ZERO transport for rural roads: a Northern Ireland case study
Lydon, M., Lydon, D., Stevens, N-A., Taylor, S., Early, J. & Marshall, A., 13 Sep 2021, In: Journal of Infrastructure Preservation and Resilience. 2, p. 24Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Use of A Roving Vision Sensor Setup to Train an Autoencoder for Damage Detection of Bridge Structures
Lydon, D., Lydon, M., Taylor, S. & Early, J., 25 Aug 2021, Civil Structural Health Monitoring Proceedings of CSHM-8 Workshop. SpringerResearch output: Chapter in Book/Report/Conference proceeding › Chapter
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A review of Vision based Methods for Pothole Detection and Road Profile Analysis
Lydon, D., Taylor, S., Lydon, M. & Early, J., 27 Aug 2020, Civil Engineering Research Association of Ireland (CERI 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Development and Laboratory Testing of a Multipoint Displacement Monitoring System
Lydon, D., Taylor, S., Robinson, D., Catbas, N. & Lydon, M., 2020, Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference CVC. Arai, K. & Kapoor, S. (eds.). Springer Verlag, Vol. 943. p. 629-638 10 p. (Advances in Intelligent Systems and Computing; vol. 943).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)
Datasets
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Fine grained vehicle classification dataset for You Only Look Once (YOLO)
Lydon, D. (Creator), Queen's University Belfast, 17 Nov 2020
DOI: 10.17034/4a0965e1-05f0-4ad8-aed5-3fae7abb2ab3
Dataset
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Prizes
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ICE East Midlands Merit Awards 2019 - Studies & Research category winner
Kromanis, R. (Recipient), Lydon, Darragh (Recipient) & Martinez-del-Rincon, Jesus (Recipient), 2019
Prize: Prize (including medals and awards)
Activities
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Transport Skills Think Tank Lunch with President of The Chartered Institution of Highways and Transportation Deborah Sims
Myra Lydon (Organiser), Darragh Lydon (Chair), Teresa McGrath (Chair) & Juliana Early (Chair)
25 Mar 2022Activity: Other activity types › Hosting a delegation or group
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Climate action day at Bhunscoil Phobal Feirste
Myra Lydon (Advisor), Teresa McGrath (Contributor) & Darragh Lydon (Contributor)
16 Sep 2019Activity: Talk or presentation types › Public lecture/debate/seminar
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SNBE Summer Engineering Camp
Myra Lydon (Organiser), Teresa McGrath (Contributor) & Darragh Lydon (Contributor)
Aug 2019Activity: Other activity types › Hosting a school group or open day
Thesis
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Development of a time-synchronised multi-input computer vision system for structural monitioring utilising deep learning for vehicle identification
Author: Lydon, D., Jul 2020Supervisor: Taylor, S. (Supervisor), Martinez del Rincon, J. (Supervisor) & Hester, D. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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