📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Visual Localisation strategies for Robotics and AI

Lead Research Organisation: University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP

Abstract

The PhD will focus on estimating the position of a camera for robotic applications. The main focus of the PhD will be to increase the capability of Neural Networks to perform absolute pose regression. The student will develop novel Artificial Intelligence (AI) architectures that can leverage information present images and aerial imagery in order to localise cameras within maps. Additionally, the PhD will investigate novel probabilistic methods which can combine AI measurements over time, which will include learned approaches.

People

ORCID iD

Tavis Shore (Student)

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513350/1 30/09/2018 29/09/2023
2718047 Studentship EP/R513350/1 30/06/2022 14/07/2026 Tavis Shore
EP/T518050/1 30/09/2020 29/09/2025
2718047 Studentship EP/T518050/1 30/06/2022 14/07/2026 Tavis Shore
EP/W524463/1 30/09/2022 29/09/2028
2718047 Studentship EP/W524463/1 30/06/2022 14/07/2026 Tavis Shore