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Found 7 matching student topics

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Improving quality of diffusion MRI: detection of motion artefacts

Diffusion Magnetic Resonance Imaging (MRI) can provide valuable insight into microstructural properties of the brain white matter in health and disease. However, obtaining high-quality diffusion MRI data is challenging because of relatively long acquisition times and the patients’ inability to remain still for this length of time. Diffusion MRI data is particularly prone to artefacts caused by motion due to head movement and cardiac pulsation. These artefacts need to be detected and corrected to provide accurate measures of microstructure.In this …

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

Hydrophobic and anti-fogging coatings for better endoscopic imaging

Keyhole surgeries rely on the use of so-called endoscopes that are essentially camera-guided instruments. Surgeons heavily rely on the visual feedback provided by such endoscopes in performing minimally invasive surgeries. However, the image quality provided by such endoscopes is routinely compromised when body fluids and fogging occlude the lens.In this project you will explore the use of novel nanomaterial in the role of hydrophobic and anti-fogging layer towards preventing the vision loss after repeated submersions in synthetic blood and similar …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Visual understanding of doorways for mobile robots

For social robots and service robots to be able to operate effectively 'out of the box' in indoor environments, they must be able to understand the context of those environments without necessarily developing or having access to a complex map.The aim of this project is to develop a generic understanding of doorways for mobile robots relying only on visual information. We will be using the Pepper robot from Softbank Robotics as a test and demonstration platform. The aim is for …

Study level
Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Camera-based positioning system for autonomous vehicles

This project will develop a camera-based positioning system for ground-based autonomous vehicles, including autonomous cars that enables low latency, highly accurate absolute positioning for vehicles relative to a pre-mapped environment.

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Lesion generator for training AI to analyse MRI

Detecting lesions from medical imaging is a difficult tasks for radiologists that is time consuming and subjective. Artificial intelligence (AI) techniques could outperform human but there is a lack of well characterised large datasets available for training.This project will focus on image processing techniques to create lesions on healthy scans that could be used for training machine learning methods. This work will fit the activity of a large team working on applying AI to medical imaging. …

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Universal feature detectors for image analysis

Computer vision techniques can now identiy complex objects from images using complicated neural networks that are trained from a large database. Often these networks learn to recognise geometric objects as part of its training.This project will investigate the creation of fast universal geometrical detectors (e.g. lines) to investigate whether they can improve speed and performance for complex computer vision tasks. …

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Wide field-of-view vision-based aircraft detection

Small-to-medium-sized fixed-wing unmanned aircraft vehicles (UAV) have an incredible range of potential applications in civilian operations including:disaster assessmentsearch-and-rescueenvironmental and infrastructure monitoringremote sensing in agricultureproduct delivery.The national airspace is heavily regulated with strict rules and safety layers designed to mitigate the risk of mid-air collisions. The final safety layer corresponds to human pilots using their eyes and judgment to see and avoid potential mid-air collision threats.Sense and avoid (SAA) refers to the implied regulatory requirement that UAVs be capable of sensing …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

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