Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.Read moreRead less
Passive Positioning and Tracking of Flying Objects Using Satellite Signals. Along with the deployment of low Earth orbit satellite constellations for global satellite Internet services, such as Starlink, Ku/Ka/V band microwave signals from space will be available anywhere on Earth 24/7. Utilising the microwave signals, this project aims to investigate a high-resolution cost-effective solution to position and track un-cooperative flying objects, and expects to generate new knowledge in the area o ....Passive Positioning and Tracking of Flying Objects Using Satellite Signals. Along with the deployment of low Earth orbit satellite constellations for global satellite Internet services, such as Starlink, Ku/Ka/V band microwave signals from space will be available anywhere on Earth 24/7. Utilising the microwave signals, this project aims to investigate a high-resolution cost-effective solution to position and track un-cooperative flying objects, and expects to generate new knowledge in the area of remote sensing and to make Australia the leader in passive flying objects positioning and tracking. This should provide significant benefits, such as enabling new applications for future drone delivery systems or aerial taxi services, and benefiting the air transport industry, the defence industry, and bird conservation.Read moreRead less
Smart transformation of transport asset management through semantic web. This project aims to develop a novel asset management information model to improve the overall effectiveness of decision making in transport asset management. The project intends to provide logical formalisms and semantic features to value-adding asset information in key asset management areas. The expected outcome will be a new value-based asset management information model which provides semantically enriched asset inform ....Smart transformation of transport asset management through semantic web. This project aims to develop a novel asset management information model to improve the overall effectiveness of decision making in transport asset management. The project intends to provide logical formalisms and semantic features to value-adding asset information in key asset management areas. The expected outcome will be a new value-based asset management information model which provides semantically enriched asset information for decision-making concerning transport asset management. This will help reduce the cost, duration and effort required to acquire relevant asset information and improve the quality and data availability of current transport asset management systems.Read moreRead less
Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of th ....Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of these tests with night driving performance. The outcomes will contribute new knowledge regarding dynamic visual processing and the ageing visual system and will inform vision testing, potential interventions to improve visual function for night driving and reduce the dangers of night driving.Read moreRead less
Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise deve ....Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise developed from the project will provide a competitive edge for Australian industries in aerospace, oceanography, robotics, remote sensing, and biomedical engineering. Read moreRead less
Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learni ....Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learning architectures that are inherently robust. The outcomes of this project will increase the security and reliability of computer vision by detecting, reporting and nullifying such attacks and will benefit the general public and industry on many fronts.Read moreRead less
Cataract and crash risk for older drivers: evidence from a population based study. Older drivers are the fastest growing segment of the driving population, which has implications for road safety. The removal of cataract is a common surgical procedure for older drivers, therefore, it is necessary to determine the effects of cataract surgery on crash risk. This project will be the largest population based study to examine crash risk for older drivers with cataract and the cost-effectiveness in ter ....Cataract and crash risk for older drivers: evidence from a population based study. Older drivers are the fastest growing segment of the driving population, which has implications for road safety. The removal of cataract is a common surgical procedure for older drivers, therefore, it is necessary to determine the effects of cataract surgery on crash risk. This project will be the largest population based study to examine crash risk for older drivers with cataract and the cost-effectiveness in terms of a reduction in crashes. The development of effective countermeasures will have direct relevance for road safety, medical practitioners and licensing authorities in Australia and is also pivotal to reducing the financial burden associated with older driver crashes.
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Next-generation Navigation by Mega-constellations LEO Satellites. This research will explore a novel positioning approach using new mega-constellations low-earth-orbit satellite communications signals to address a severe limitation of Global Navigation Satellite Systems (GNSS). It will facilitate improved positioning for services that rely on satellite positioning in challenging environments where GNSS signal visibility is limited, and where accurate positioning is needed. Expected outcomes are ....Next-generation Navigation by Mega-constellations LEO Satellites. This research will explore a novel positioning approach using new mega-constellations low-earth-orbit satellite communications signals to address a severe limitation of Global Navigation Satellite Systems (GNSS). It will facilitate improved positioning for services that rely on satellite positioning in challenging environments where GNSS signal visibility is limited, and where accurate positioning is needed. Expected outcomes are generating new knowledge in using satellite internet signals for navigation, advancing our satellite positioning capability essential for vital applications such as transport, mining and defence, and developing technologies to increase Australia’s satellite innovation capacity with global scalability.Read moreRead less
Visual field impairment and injury: A population-based study. This project aims to link a large-scale ophthalmic database of visual field tests to population-based injury data which includes police-reported crash data, hospitalisation, death and trauma data in people aged over 60 years. The identification of individuals with high risk visual fields will enable the development of targeted interventions at the local, national and international level to prevent injuries due to visual field loss. Si ....Visual field impairment and injury: A population-based study. This project aims to link a large-scale ophthalmic database of visual field tests to population-based injury data which includes police-reported crash data, hospitalisation, death and trauma data in people aged over 60 years. The identification of individuals with high risk visual fields will enable the development of targeted interventions at the local, national and international level to prevent injuries due to visual field loss. Significant benefits include a reduction in the number of injuries and consequent reductions in personal harm and health care demands.Read moreRead less