Detailed sensing data can enhance the quality and increase the efficiency of inspecting and maintaining infrastructure assets. This research will explore the new opportunities provided by displacement and strain monitoring data from infrastructure assets gathered using computer vision techniques. Within this context, processing of images from cameras, point cloud data from laser scanners and radar data from satellites is considered within the domain of computer vision. These techniques allow remote and precise monitoring of displacements of assets over time scales varying from a few seconds to years. Compared to conventional surveying, these techniques can generate unparalleled amount of data, and in the case of photogrammetry, enable relevant and high accuracy strain measurements while generating significant cost savings.
This DPhil project will investigate computer vision monitoring techniques, with a strong focus on photogrammetry, to provide robust monitoring solutions that can assess asset performance in short and long term. This will involve developing algorithms which can highlight existing defects in assets and provide displacement and strain measurements for a variety of different structures (e.g. bridges, buildings, railway embankments) while minimising the influence of environmental conditions (e.g. ambient lighting) on measurements. The data will be primarily used to improve engineering assessment techniques and computational modelling strategies. Important geotechnical problems, such as the influence of underground construction on existing assets, will be explored with the collection of real data from ongoing major infrastructure projects.
The student will be supervised jointly by Dr. Sinan Acikgoz of the University of Oxford, and Dr Mehdi Alhaddad of ARUP. The project will provide the opportunity to interact closely with ARUP engineers during a minimum 3-month placement.
The studentship covers University fees at the level set for UK students plus a stipend (tax-free maintenance grant) of at least £14,777 p.a. (2018-19 rate) for four years. The studentship does cover the payment of course fees (£ 7730 for the 2019-20 academic year).
This studentship is funded through the UK Engineering and Physical Sciences Research Council (EPSRC) Industrial Cooperative Awards in Science & Technology (CASE) Award Scheme and is open to both UK students (full award – fees plus stipend) and EU students (partial award – fees only). Full details of the EPSRC eligibility requirements can be found here.
Prospective candidates will be judged according to how well they meet the following criteria:
The following skills are desirable but not essential:
To apply for this studentship, candidates should send the following documents to email@example.com:
NOTE: Candidates are expected to meet the graduate admissions criteria and a full graduate application must be made at the same time as applying for this studentship. Your studentship application will not be considered until you have submitted a graduate application.
Please quote 19ENGCI_SA in all correspondence to the Department and in your graduate application.
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1 March 2019