Tengjiao Jiang
Om
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)
- Optical Measurement
- Structural Health Monitoring (SHM)
- Condition Assessment of Transportation Infrastructures
Academic Activities
- Associate Editor of the journal Experimental Techniques
- Early-Career Editorial Board of the journal Intelligent Transportation Infrastructure
- Guest Editor of the journal Buildings and Vehicles
- Peer reviewer for twelve academic journals, including MSSP, MMT, IEEE TIM and ET.
Awards
- Won the “Best Paper Award” at the IMAC-XLII conference in Orlando, Florida, USA, held by the Society for Experimental Mechanics, Jan 2024.
- Awarded “Olympiad Medal” in the Olympiad in Engineering Science at Olympia, Greece, 23rd -27th May, 2023.
Media: OES2023, NTNU News, NTNU Linkedin
Supervisors
Forskning
Research Highlights
- 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
Publikasjoner
A 6-DOF camera motion correction method using IMU sensors for photogrammetry and optical measurements
This study proposed a novel 6-degree-of-freedom (DOF) camera shake correction method by using an inertial measurement unit (IMU) sensor to address the challenge of camera shake, caused by environmental conditions such as wind and ground traffic.
A visual inspection and diagnosis system for bridge rivets based on a convolutional neural network
The article studied fast inspection and diagnosis of bridge rivets based on a convolutional neural network (CNN) and drones. The rivet health conditions include normal (RN), rusted (RR), loose (RL) and missing (RM).
2025
-
Zhu, Weizhu;
Shen, Zimeng;
Jiang, Tengjiao;
Wu, Tong;
Zhou, Zhixiang.
(2025)
Multiple targets displacement response identification in bridges via an enhanced monocular vision-based method.
Construction and Building Materials
Vitenskapelig artikkel
-
Lu, Ziyue;
Jiang, Tengjiao;
Slavič, Janko;
Frøseth, Gunnstein Thomas.
(2025)
A multilevel bridge corrosion detection method by transformer-based segmentation in a stitched view.
Journal of Civil Structural Health Monitoring (JCSHM)
Vitenskapelig artikkel
-
Zhu, Weizhu;
Jiang, Tengjiao;
Heng, Junlin;
Chu, Xi;
Zhou, Zhixiang.
(2025)
Enhanced monocular vision system for multi-target deformation monitoring of bridges via oblique photography.
Engineering structures
Vitenskapelig artikkel
2024
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders;
Kong, Xuan;
Deng, Lu.
(2024)
A visual inspection and diagnosis system for bridge rivets based on a convolutional neural network.
Computer-Aided Civil and Infrastructure Engineering
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Wang, Shaorui;
Petersen, Øyvind Wiig;
Rønnquist, Anders.
(2024)
A 6-DOF camera motion correction method using IMU sensors for photogrammetry and optical measurements.
Mechanical systems and signal processing
Vitenskapelig artikkel
-
Zhang, Hong;
He, Jiangxia;
Jiang, Xiaogang;
Gong, Yanfeng;
Hu, Tianyu;
Jiang, Tengjiao.
(2024)
Quantitative characterization of surface defects on bridge cable based on improved YOLACT++.
Case Studies in Construction Materials
Vitenskapelig artikkel
2023
-
Luo, Kui;
Kong, Xuan;
Wang, Xiuyan;
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders.
(2023)
Cable vibration measurement based on broad-band phase-based motion magnification and line tracking algorithm.
Mechanical systems and signal processing
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders.
(2023)
A robust bridge rivet identification method using deep learning and computer vision.
Engineering structures
Vitenskapelig artikkel
2022
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Nåvik, Petter Juell;
Rønnquist, Anders.
(2022)
Assessment of pantograph-catenary interaction in a railway overlap section via a novel optical-based method.
Mechanism and Machine Theory
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Rønnquist, Anders;
Song, Yang;
Frøseth, Gunnstein Thomas;
Nåvik, Petter Juell.
(2022)
A detailed investigation of uplift and damping of a railway catenary span in traffic using a vision-based line-tracking system.
Journal of Sound and Vibration
Vitenskapelig artikkel
2021
-
Song, Yang;
Jiang, Tengjiao;
Rønnquist, Anders;
Nåvik, Petter Juell;
Frøseth, Gunnstein Thomas.
(2021)
The Effects of Spatially Distributed Damping on the Contact Force in Railway Pantograph-Catenary Interactions.
IEEE Transactions on Instrumentation and Measurement
Vitenskapelig artikkel
-
Song, Yang;
Rønnquist, Anders;
Jiang, Tengjiao;
Nåvik, Petter Juell.
(2021)
Identification of short-wavelength contact wire irregularities in electrified railway pantograph–catenary system.
Mechanism and Machine Theory
Vitenskapelig artikkel
2020
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders;
Fagerholt, Egil.
(2020)
A robust line-tracking photogrammetry method for uplift measurements of railway catenary systems in noisy backgrounds.
Mechanical systems and signal processing
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Zhu, Weizhu;
Shen, Zimeng;
Jiang, Tengjiao;
Wu, Tong;
Zhou, Zhixiang.
(2025)
Multiple targets displacement response identification in bridges via an enhanced monocular vision-based method.
Construction and Building Materials
Vitenskapelig artikkel
-
Lu, Ziyue;
Jiang, Tengjiao;
Slavič, Janko;
Frøseth, Gunnstein Thomas.
(2025)
A multilevel bridge corrosion detection method by transformer-based segmentation in a stitched view.
Journal of Civil Structural Health Monitoring (JCSHM)
Vitenskapelig artikkel
-
Zhu, Weizhu;
Jiang, Tengjiao;
Heng, Junlin;
Chu, Xi;
Zhou, Zhixiang.
(2025)
Enhanced monocular vision system for multi-target deformation monitoring of bridges via oblique photography.
Engineering structures
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders;
Kong, Xuan;
Deng, Lu.
(2024)
A visual inspection and diagnosis system for bridge rivets based on a convolutional neural network.
Computer-Aided Civil and Infrastructure Engineering
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Wang, Shaorui;
Petersen, Øyvind Wiig;
Rønnquist, Anders.
(2024)
A 6-DOF camera motion correction method using IMU sensors for photogrammetry and optical measurements.
Mechanical systems and signal processing
Vitenskapelig artikkel
-
Zhang, Hong;
He, Jiangxia;
Jiang, Xiaogang;
Gong, Yanfeng;
Hu, Tianyu;
Jiang, Tengjiao.
(2024)
Quantitative characterization of surface defects on bridge cable based on improved YOLACT++.
Case Studies in Construction Materials
Vitenskapelig artikkel
-
Luo, Kui;
Kong, Xuan;
Wang, Xiuyan;
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders.
(2023)
Cable vibration measurement based on broad-band phase-based motion magnification and line tracking algorithm.
Mechanical systems and signal processing
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders.
(2023)
A robust bridge rivet identification method using deep learning and computer vision.
Engineering structures
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Nåvik, Petter Juell;
Rønnquist, Anders.
(2022)
Assessment of pantograph-catenary interaction in a railway overlap section via a novel optical-based method.
Mechanism and Machine Theory
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Rønnquist, Anders;
Song, Yang;
Frøseth, Gunnstein Thomas;
Nåvik, Petter Juell.
(2022)
A detailed investigation of uplift and damping of a railway catenary span in traffic using a vision-based line-tracking system.
Journal of Sound and Vibration
Vitenskapelig artikkel
-
Song, Yang;
Jiang, Tengjiao;
Rønnquist, Anders;
Nåvik, Petter Juell;
Frøseth, Gunnstein Thomas.
(2021)
The Effects of Spatially Distributed Damping on the Contact Force in Railway Pantograph-Catenary Interactions.
IEEE Transactions on Instrumentation and Measurement
Vitenskapelig artikkel
-
Song, Yang;
Rønnquist, Anders;
Jiang, Tengjiao;
Nåvik, Petter Juell.
(2021)
Identification of short-wavelength contact wire irregularities in electrified railway pantograph–catenary system.
Mechanism and Machine Theory
Vitenskapelig artikkel
-
Jiang, Tengjiao;
Frøseth, Gunnstein Thomas;
Rønnquist, Anders;
Fagerholt, Egil.
(2020)
A robust line-tracking photogrammetry method for uplift measurements of railway catenary systems in noisy backgrounds.
Mechanical systems and signal processing
Vitenskapelig artikkel
Undervisning
- KT8228 - Signal processing and system identification in structural dynamics (Lecturer)
Veiledning
PhD student
- Ziyue Lu. Topic: Inspection of civil infrastructures by using deep learning and computer vision. (2022-Now, Co-supervisor)
Master students
- Frikk Andreas Knutsen. Thesis: Evaluation of Monocular Visual Odometry for Bridge Inspections (2023-2024, Co-supervisor)
- Håvard Brekke Sneis, Haakon Emil Berge Keyser. Thesis: Modal Identification by Analysing Movements with Vision‐Based Methods (2021-2022, Co-supervisor)
- Ingvild Mariannedatter Solheim. Thesis: Effect of Stockbridge Dampers on the Vibration Response of Suspension Bridge Hangers (2021-2022, Co-supervisor)
- Simon Trefjord, Rune Narbuvoll Foss. Thesis: Wind Tunnel Testing of Fluid Elastic Instability in Tube Bundles ‐an Initial Study (2018-2019, Co-supervisor)
Formidling
2020
-
Vitenskapelig foredragJiang, Tengjiao; Rønnquist, Anders. (2020) Application of a Robust Photogrammetry Method in Uplift Measurements of Railway Catenary Systems in Noisy Backgrounds. IMAC XXXVIII 2020 , Houston, Texas 10.02.2020 - 13.02.2020