PhD Studentship: Information Fusion for A Collaborative Perception on Local Dynamic Map Systems with a Network of Connected Autonomous Cars
Computer Science,Computer Science,Engineering and Technology,Production Engineering and Manufacturing,Other Engineering
Short info about job
Company: University of Warwick
Department: Warwick Manufacturing Group (WMG)
Hours: Full Time
Type / Role: PhD
Phone: +44-1233 6520355
Fax: +44-1278 8573425
E-mail: N\A
Site: N\A
Detail information about job PhD Studentship: Information Fusion for A Collaborative Perception on Local Dynamic Map Systems with a Network of Connected Autonomous Cars. Terms and conditions vacancy
Funding: 4 years UK/EU students
Supervisors: Professor Merhdad Dianati, Professor Paul Jennings
Supporting company: Ordnance Survey
Start Date: October 2017
Project overview
You will be expected to systematically investigate feasibility and performance of collaborative perception in a network of connected autonomous cars in order to create a reliable and highly accurate perception of the state of a subject autonomous vehicle, e.g., its location, as well as the surrounding environment.
The research will build on the top of existing techniques that autonomous vehicles currently apply for the above-mentioned purposes addressing their shortcomings in terms of accuracy and reliability without needing expensive on-board sensory and computing resources.
To this end, the research will investigate alternative approach of using off-board information that can be made available through V2X communications and integrate them in a robust manner to deal with potential disruptions of communication systems, potentially into a novel perception layer on a Local Dynamic Map (LDM) system.
Entry requirements
Qualifications:
MSc with distinction or 1st class BSc in Computer Science, Engineering or related fields.
Studentship funding
Due to funding regulations, the applicant should be eligible as a Home/EU student. A stipend of £14,296, plus an industrial top-up of £3,000, will be paid per annum for 4 years.
To apply
This is a COMPETITIVE application process and our online enquiry form must be completed. The information supplied will then be sent for review to assess your suitability and interviews will be conducted.
As part of the application, please supply your CV, grades and qualifications (achieved and/or expected), and a two-page maximum cover letter/project plan/personal statement on why you think you should be considered for this position and your idea. References do not need to be supplied but may be sought after shortlisting with your permission. The awardee will however be required to supply satisfactory references at the acceptance stage.