QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 5 matching student topics
Displaying 1–5 of 5 results
Ubiquitous visual positioning devices
Everything that moves is defined and limited by its ability to navigate the world in which it exists. Knowing where you are located in the world is a key navigational capability for people, animals, and both autonomous and human-operated platforms ranging from self-driving cars to aircraft.But accurate and trustworthy positional knowledge has widespread potential implications beyond navigation: it can, for example, allow life-and-death decisions in defence and in tracking the spread of global pandemics. Both the potential of and problems …
- Study level
- Honours, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Mapping the world: understanding the environment through spatio-temporal implicit representations
Accurately mapping large-scale infrastructure assets (power poles, bridges, buildings, whole suburbs and cities) is still exceptionally challenging for robots.The problem becomes even harder when we ask robots to map structures with intricate geometry or when the appearance or the structure of the environment changes over time, for example due to corrosion or construction activity.The problem difficulty is increased even more when sensor data from a range of different sensors (e.g. lidars and cameras, but also more specialised hardware such as …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Sun-guided localisation: harnessing absolute direction for advanced visual place recognition in robotics
The significance of positioning and localisation systems in robotics is well-established. Visual place recognition (VPR) enables robots to localise themselves visually, facilitating navigation and decision-making without relying on satellite systems, which can be unavailable indoors and unreliable in densely built areas.This project aims to enhance the VPR process by incorporating supplementary information to simplify the place recognition problem. We will investigate the use of an additional network head that predicts the absolute direction of an image, potentially serving as supplementary …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Deep learning for next-generation visual place recognition: sequence matching in robotic navigation
Are you interested in contributing to the advancement of robotics and navigation systems? In this VRES project, you will explore the cutting-edge field of visual place recognition (VPR).In both human and robotic navigation, understanding our location is essential for various tasks, such as obtaining resources, commuting, and socialising. The future of robots and augmented reality devices depends on reliable localisation systems. VPR is a critical aspect of robotics that allows for navigation and decision-making without relying on satellite systems, which …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
NHMRC Idea Grant: intergenerational living and learning models
This research project acts upon recommendations from the Inquiry into the Quality of Care and Residential Aged Care in Australia IQCRAC (2018) by developing an inter-generational model for senior living within school campuses in consultation with industry partners. The project differs from existing programs by establishing an economic policy-driven 'shared campus facilities and services' approach which is person-centred, health focused and socially inclusive. The model intends to be translatable across diverse Australian contexts, from urban realms where land is limited, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
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Design Lab
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