PhD Studentship - Real-time 3D Computer Vision and Image Processing for
Automotive and Autonomous Robotics Applications
School of Engineering, Cranfield University, MK43 0AL, UK.
Supervisor: Dr Toby Breckon
Applications are invited for a fully funded PhD student to work in the
School of Engineering on the topic of developing real-time 3D computer
vision techniques within the area of autonomous robotic guidance and
automotive driver assistance systems in collaboration with TRW Conekt
(http://www.conekt.co.uk/).
Intelligent vehicle sensing has seen increasing interest and application
over the past decades with a wide range of applications in both driver
assistance systems and autonomous guidance systems alike. This PhD
project builds upon the ongoing theme of work within the Cranfield
research team on intelligent vehicle sensing such autonomous route
proving, road sign detection, headlight tracking, GPS navigation
augmentation and automotive stereo vision. This project specifically
looks to leverage recent advances in real-time video mosaicking and
automotive stereo vision for application to real-time on-vehicle 3D
vision for autonomous navigation and scene understanding. This
represents a very good opportunity for a candidate interested in an
applied research career, comprising both academic and industrial
placement elements within the 3.5 year study programme with an initial
pre-project 6-month industrial placement.
Entry Requirements: Applicants should have good background in any of
computer science, artificial intelligence, electrical engineering or a
related discipline with a strong programming ability in a high level
language (preferably C/C++, Java or Matlab). Candidates should hold at
least a 2:1 honours degree or equivalent in Computer Science, Electrical
Engineering or a related discipline (Masters degree a plus). In
addition applicants would ideally have a good knowledge of mathematics
(especially algebra, statistics and geometry) and a strong motivation
towards PhD study. Prior experience in computer vision, image processing
and/or machine learning is a plus although not essential.
Funding: This studentship is only available to UK/EU nationals.
Studentship awards are available to cover both tuition fees and a
stipend in the form of a tax-free subsistence bursary.
How to apply: If you meet the eligibility criteria please make an application
via the university applications page at:
http://www.cranfield.ac.uk/students/applications/index.html Please note
this is the only way we can accept applications and applications are not
accepted by email. (Please specify project title: Real-time Computer
Vision for Automotive Applications, supervisor: Dr. Toby Breckon,
Cranfield Campus)
URL: http://www.cranfield.ac.uk/soe/postgraduatestudy/phd/page55062.html
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