PhD Studentship: Improving the Spatial Mapping Accuracy of Augmented Reality for Engineering Applications

Loughborough University - Mechanical & Manufacturing Engineering

Application details:

Reference number: WS14
Start date: 1st October 2018
Closing date: 9th March 2018

Supervisors:

Primary supervisor: Roy S. Kalawsky
Secondary supervisor: Rob Edwards

Intro (standard):

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/.

Project Detail:

This PhD is concerned with developing new techniques to improve the accuracy of augmented reality (AR) in engineering applications. In current AR applications, special markers are placed in the real-world and recognised through image processing techniques to place computer generated text or graphics over the real-world. Unfortunately, the real-world/virtual-world interface is not very accurate. This PhD project is concerned with developing new techniques that will enable space stabilised, accurately scaled and located AR engineering data to be displayed with respect to the real-world. In this application we are assuming the use of tablet computer based AR where the camera on the tablet computer is used to capture the real-world in conjunction with the spatial markers. We anticipate that new spatial markers will be developed by the research so that they contain additional information such as links to relevant contextual engineering data. The research will involve investigating the science behind AR from a technology and human factors perspective to achieve the required level of accuracy.

There are many engineering related applications that would benefit from solutions to the above research.

We already have an industry partner who would provide suitable industry inspired proof of concept case studies for the research.

This is an extremely exciting opportunity to be at the forefront of what will become a crucial technological concept for future engineering Industry 4.0 applications.

Find out more:

If you are interested in this PhD please contact the primary supervisor in the first instance.

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in computer science or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: systems engineering, image processing, or product design.

Funding information:

Please note that these studentships will be awarded on a competitive basis to applicants who have applied to this project and/or the following 30 projects that have been prioritised for funding; advert ref: WS01 – WS30.

If awarded, each 3 year studentship will provide a tax-free stipend of £14,786 p.a (provisional), plus tuition fees at the UK/EU rate (currently £4,262 p.a). While we welcome applications from non EU nationals, please be advised that due to funding restrictions it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 30th April 2018.

Contact details:

Name: Roy Kalawsky
Email address: r.s.kalawsky@lboro.ac.uk
Telephone number: 01509 635678

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select Mechanical & Manufacturing Engineering.

Please quote reference number: WS14

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Type / Role:

PhD

Location(s):

Midlands of England