Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy. 3D Lidar imaging consists in sending laser pulses to a target and capturing the returned photons after reflection from the target. Recent advances in single-photon detectors allowed the use of such systems to acquire 3D images in low photon regime (few received photons) due for example to long-range km imaging or fast imaging, which constitute important challenges for automotive Lidar and sensing for autonomous vehicles. Despite recent advances, current systems can still be optimized regarding the task to be achieved such as parameters estimation, classification, etc.
In this project, our image processing group will work closely with system design groups in Heriot-Watt to combine multi-sensor data acquired at high frame rates using a 3D Lidar system and another sensing modality such as a passive optical imaging system or a radar). This combination aims to reduce the noise affecting the 3D images (due to imaging through fog, rain) and to improve the spatial resolution of 3D Lidar videos. Current solutions developed by our group show promising results at high frame rates (acquisition at 500 frames per second) and the student will generalize them to account for high levels of noise accounted in real world applications (see examples in https://sites.google.com/site/abderrahimhalimi/home
) and to reach real time performance using parallel computing tools.
Through the project, the PhD student will learn state-of-the-art approaches regarding Bayesian modelling, non-local filtering, graph-based approaches, machine learning and optimization algorithms. The project will be achieved in collaboration with industrial partners and system design teams in HWU which will provide additional real data.
Interested students are strongly invited to see: https://sites.google.com/site/abderrahimhalimi/home
for more details about the project and related ongoing research.
All applicants must have or expect to have a 1st class MChem, MPhys, MSci, MEng or equivalent degree by Autumn 2020. Selection will be based on academic excellence and research potential, and all short-listed applicants will be interviewed (in person or by Skype). Our scholarships are usually only open to UK/EU applicants who meet residency requirements set out by EPSRC, however some scholarships are available for exceptional overseas candidates.
All applications must be received by 28th February 2020. All successful candidates should usually expect to start in September/October 2020.
How to Apply
Apply Online - https://hwacuk.elluciancrmrecruit.com/Admissions/Pages/Login.aspx
When applying through the Heriot-Watt on-line system please ensure you provide the following information:
(a) in ‘Study Option’
You will need to select ‘Edinburgh’ and ‘Postgraduate Research’. ‘Programme’ presents you with a drop-down menu. Choose Electrical Engineering PhD and select September 2020 for study option (this can be updated at a later date if required)
(b) in ‘Research Project Information’
You will be provided with a free text box for details of your research project. Enter Title and Reference number of the project for which you are applying and also enter the supervisor’s name.
This information will greatly assist us in tracking your application.
Please note that once you have submitted your application, it will not be considered until you have uploaded your CV and transcripts.