Computer Vision and Deep Learning for Autonomous Vehicles Guidance and Navigation

Start date
Ongoing
Duration
4 years
Application deadline
Ongoing
Funding information

This is an industrial funded studentship in collaboration with an external partner. The studentship covers the University tuition fees (at EU/UK level) and provides an annual tax free stipend (rate for 2020-2021 is £15,285 p.a. tax-free).  It will also cover UK/EU fees. Please note, it will not cover the overseas tuition fees (currently £22K from Oct 2020) for students who are outside of the EU.

Funding source
External Industrial Partner
Supervised by

About

Applications are invited for a fully funded PhD studentship within the Centre for Vision Speech and Signal Processing at the University of Surrey. The funding is for a three-year research programme leading to the degree of PhD. The project will investigate AI and computer vision approaches to perception and its use for long term path planning and navigation. The work will focus on deep learning applied to local perception and will investigate semantic segmentation in the image plane integrated into a ROS control and path planning system vs Birds Eye View (BEV) estimation direct from images using deep learning. Local perception will be fused with live information from multiple sources, each of which has unique error characteristics, and the fused data will be used for guidance through the application of collision avoidance rules.

Related links
Professor Richard Bowden Centre for Vision, Speech and Signal Processing (CVSSP) C-Lab: Cognitive systems

Eligibility criteria

Applicants must have a First Class or Upper Second Honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g., engineering, computer science, signal processing, applied mathematics, physics).

You should be able to demonstrate excellent mathematical, analytic, programming skills.

Previous experience in computer vision, machine/deep learning, or augmented reality would be advantageous. 

UK and EU students only.

IELTS 6.5 or above (or equivalent) with no sub-test of less than 6.

How to apply

Formal applications should be made through the Vision, Speech and Signal Processing PhD course page making clear reference to the post and “Prof Bowden (CVSSP)”.

Informal enquiries should be sent to r.bowden@surrey.ac.uk.

Contact details

Richard Bowden
22 BA 00
Telephone: +44 (0)1483 689838
E-mail: R.Bowden@surrey.ac.uk

Centre for Vision, Speech and Signal Processing (CVSSP)

CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 1st in the UK and 3rd in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 170 researchers and a grant portfolio in excess of £24 million, bringing together a unique combination of cutting-edge sound and vision expertise. Our aim is to advance the state of the art in multimedia signal processing and computer vision, with a focus on image, video and audio applications. Our Centre has a robust track-record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, VR), communication, healthcare, robotics and consumer electronics.

CVSSP is a destination of choice for postgraduate talent and it is part of the Department of Electrical and Electronic Engineering which is ranked second in the Guardian University Guide 2020The University of Surrey has recently been ranked 7th in the UK in the 2020 AdvanceHE Postgraduate Research Experience Survey (PRES).

C-Lab: Cognitive systems

 

 

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