EPSRC DTP Studentship in Reflection Aware Visual Simultaneous Localization and Mapping (RA-vSLAM)

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    Cardiff University
    United Kingdom
    Formal sciences



We seek an outstanding, talented and ambitious PhD student to carry out high quality research in computer vision and robotics. The project will research the impact of visual reflections in simultaneous localization and mapping (SLAM).

Reflections are ubiquitous in our environment, and are utilised by our vision system to extend the field of view. An example is the use of rear view mirrors on cars. Visual reflections, although provide only ‘subtle’ information, bring flexibility to our visual perception of the environment. However, such information has not been utilized in computer vision systems. SLAM is a technique originally developed for robotics applications. Visual SLAM (vSLAM) allows a mobile device to incrementally build a map of its environment and localise itself within that map, using only visual information. Even the state-of-the-art vSLAM solutions are based on the assumption that the scenes captured are real and direct, without consideration of those ‘virtual’ images resulted from reflections. It is an interesting question whether and how reflections can be used to improve the flexibility and robustness of current vSLAM solutions. The answer to it will find important applications in robot navigation, various autonomous systems, VR/AR, etc.

This project will take a step forward to answer this question by considering planar and mirror reflections in indoor vSLAM, and aims to understand the influence of visual reflections in current vSLAM solutions, and develop a reflection-aware vSLAM solution for more flexible and robust mapping and localisation. To achieve the aim, several key aspects will be researched in the project, including analysis of the robustness of current visual SLAM solutions to mirror reflections, exploration of different approaches to detect and localize mirror planes, and utilise the detected reflections for 3D localization and mapping. Evaluation of the developed algorithms may be carried out in both simulation and in real-world.

The successful applicant will join the visual computing group in the School of Computer Science and Informatics. The group has a track record of excellent research output. The research in the group spans a wide range of topics in the fields of computer vision, computer graphics, geometric computing, and image and video processing. The successful applicant will also work in close collaboration with the Robotics and Autonomous Systems Laboratory in the School of Engineering, which provides cutting-edge robotic facilities. The successful applicant will join the Doctoral Academy Programme to develop his/her research and professional skills, and will receive support to attend workshops and conferences to maximise exposure to the wider research context.

For more information on this project, contact the supervisor, Dr Jing Wu wuj11@cardiff.ac.uk.

What is funded

The 3.5 year studentship includes UK/EU tuition fees (£4,407 p.a. in 2020/21) and a stipend at the UKRI rate (£15,285 p.a. in 2020/21). It also allows a Research Training Support Grant totalling £4,000.


A 2:1 or above Honours undergraduate degree or a master's degree, in computing or a related subject.

Applicants for whom English is not their first language must demonstrate their proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

UK/EU applicants only. UK Research Council eligibility conditions apply.

How to Apply

Applicants should apply through the Cardiff University online application portal, for a Doctor of Philosophy in Computer Science & Informatics with an entry point of October 2020. In the research proposal section of your application, please specify the project title and supervisors of this project. In the funding section, please select "I will be applying for a scholarship / grant" and specify that you are applying for advertised funding from EPRSC DTP.

Note, the application may close early when a sufficient number of applications has been received.



The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.