Tengjiao Jiang
About
Postdoc project: Computer Vision‐Based Structural Monitoring (COSMO)
Intelligent and automated inspection methods are receiving more and more attention with the long-term operation of many transportation infrastructures. Except for the continuous degradation of the material performance, human and natural loads (e.g. repeated loads from vehicles, wind and earthquakes) will result in cumulative or sudden damage to infrastructures, threatening safe operation and possibly leading to disasters.
Dr. Tengjiao Jiang focuses on developing inspection and evaluation methods for existing railways and bridges by using computer vision (CV) and deep learning (DL). The project is funded by the Norwegian Railway Directorate.
Research interests
- Computer Vision (CV)
- Machine Learning (ML)
- Image Processing
- Structural Health Monitoring (SHM)
- Condition Assessment of Transportation Infrastructures
Academic Activities
- Associate Editor of the journal Experimental Techniques
- Guest Editor of the journal Vehicles
- Peer reviewer for several academic journals, including MSSP, MMT, IEEE TIM and ET.
Awards
- Awarded “Olympiad Medal” in the Olympiad in Engineering Science at Olympia, Greece, 23rd -27th May, 2023.
Media: OES2023, NTNU News, NTNU Linkedin
Supervisors
Research
Research Highlights
- Infrastructure inspection and diagnosis by computer vision and deep learning [Article]
- A vehicle-mounted sensor system for measurement from trains in traffic
- Development and application of vision-based systems in uplift measurements of railway catenary system [Article] [Open-source code]
- Full-field deformation monitoring of a long-span bridge by a vehicle-mounted 3D laser scanning system
- Damage detection and disaster warning of bridges based on 3D reconstruction technique
Media
2020
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Academic lecture(2020) Application of a Robust Photogrammetry Method in Uplift Measurements of Railway Catenary Systems in Noisy Backgrounds. Society for Experimental Mechanics, Inc. IMAC XXXVIII 2020 , Houston, Texas 2020-02-10 - 2020-02-13