A hardware accellerated platform for high-fidelity, high speed simulation of infrared scenes. Missiles present a major military and terrorist threat to aircraft and ships. A possible method to detect them is an infrared imaging system which is sensitive to a missile's spectrally unique rocket propulsion exhaust. It is both dangerous and expensive to conduct field trials; so simulation is used extensively. This project aims to use high performance computing to accelerate the slowest parts of the ....A hardware accellerated platform for high-fidelity, high speed simulation of infrared scenes. Missiles present a major military and terrorist threat to aircraft and ships. A possible method to detect them is an infrared imaging system which is sensitive to a missile's spectrally unique rocket propulsion exhaust. It is both dangerous and expensive to conduct field trials; so simulation is used extensively. This project aims to use high performance computing to accelerate the slowest parts of the industrial partner's existing simulations: the generation of simulated infrared images.
This project will improve the competitiveness of the manufacturer of infrared threat and warning systems and provide research training in an area of high performance computing.
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Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Visual tracking with environmental constraints. By incorporating high level scene understanding into visual tracking, this project will improve the capacity to monitor and analyse complex patterns of activity in video. This has many applications in public safety and security, but the project will demonstrate it on the challenging task of tracking players during an Australian Football League (AFL) game to gather statistics on their performance.
Visual sensing for localisation and mapping in mining. The creation of high quality survey data is integral to productivity and safety in mining and mining exploration. The current state-of-the-art mine surveying involves scanning from a number of fixed points using laser range-finding equipment (LIDAR). The aim of this project is to develop camera systems and computer vision algorithms to improve the speed and accuracy of this digital mapping of mines, to allow accurate mapping in locations den ....Visual sensing for localisation and mapping in mining. The creation of high quality survey data is integral to productivity and safety in mining and mining exploration. The current state-of-the-art mine surveying involves scanning from a number of fixed points using laser range-finding equipment (LIDAR). The aim of this project is to develop camera systems and computer vision algorithms to improve the speed and accuracy of this digital mapping of mines, to allow accurate mapping in locations denied GPS, and in locations where LIDAR cannot be deployed. The project aims to develop methods to assess these data to detect long-term trends such as shifts in mine drives which may be indicative of stress build-up. The new technology intends to impact both productivity and safety within mining.Read moreRead less
Hardware Verification Techniques for Complex High Performance Systems-on-a-chip. Verifying the correctness of modern integrated circuit designs is a critical success factor from both economic and technological perspectives. Rapid advances in semiconductor manufacturing technology are not matched by similar gains in hardware design verification methodology. This creates a widening verification gap that threatens the viability of future complex integrated circuits. This project aims to address th ....Hardware Verification Techniques for Complex High Performance Systems-on-a-chip. Verifying the correctness of modern integrated circuit designs is a critical success factor from both economic and technological perspectives. Rapid advances in semiconductor manufacturing technology are not matched by similar gains in hardware design verification methodology. This creates a widening verification gap that threatens the viability of future complex integrated circuits. This project aims to address this issue by developing novel hardware verification techniques targeting complex high performance systems-on-a-chip. The research outcome will be a set of verification techniques and tools that directly benefit the advancement of future integrated circuit development, verification and manufacturing.Read moreRead less
Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Photogrammetric Reconstruction for Underwater Virtual Heritage Experiences. This project aims to enable significant underwater cultural heritage sites such as shipwrecks to be recreated in immersive underwater virtual heritage experiences. Photogrammetric 3D reconstruction techniques will be used to generate complex digital 3D models of shipwreck sites from hundreds of thousands of underwater images. This will allow vivid experiences to be created which explain the stories of these wrecks. The p ....Photogrammetric Reconstruction for Underwater Virtual Heritage Experiences. This project aims to enable significant underwater cultural heritage sites such as shipwrecks to be recreated in immersive underwater virtual heritage experiences. Photogrammetric 3D reconstruction techniques will be used to generate complex digital 3D models of shipwreck sites from hundreds of thousands of underwater images. This will allow vivid experiences to be created which explain the stories of these wrecks. The project will conduct audience engagement studies to recommend the most appropriate methods to implement underwater virtual heritage experiences for Australian audiences. The sites which will be used as test datasets are some of the most significant Australian shipwreck sites, including HMAS Sydney (II) and HMAS AE1.Read moreRead less
Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors. Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintena ....Integrated On-line Condition Monitoring and Failure Diagnosis in Induction Motors. Electric motors are widely used in industry. Traditional maintenance approaches have involved regular overhauls/inspections and replacement after a fixed period. On-line condition monitoring involves taking non-invasive measurements to determine the motor's "health" and only scheduling maintenance when required. The benefits are reduced unexpected failures and reduced maintenance costs due to the greater maintenance intervals. The majority of existing work on condition monitoring has looked at using a single sensor type (eg. vibration) for fault prediction. The proposed work seeks to improve the reliability and accuracy of fault diagnosis by correlating information from multiple sensor types, which can be accessed remotely.Read moreRead less
Incorporating network-level knowledge into Quality of Service control mechanisms for wireless LANs. Expansion of Wireless LANs as primary access technology for mobile computing devices has resulted in growing expectations of continuous area coverage and controlled Quality of Service. The work published to date defines QoS control mechanisms for a single WLAN cell, but fails to address challenges of multiple-cell networks. We aim at designing network-wide resource management mechanisms to dynamic ....Incorporating network-level knowledge into Quality of Service control mechanisms for wireless LANs. Expansion of Wireless LANs as primary access technology for mobile computing devices has resulted in growing expectations of continuous area coverage and controlled Quality of Service. The work published to date defines QoS control mechanisms for a single WLAN cell, but fails to address challenges of multiple-cell networks. We aim at designing network-wide resource management mechanisms to dynamically allocate resources to cells and users, taking into account user mobility and radio interference between multiple cells. Benefits from this research include competitive advantage to operators who will be able to differentiate service offerings and guarantee agreed QoS to their customers.Read moreRead less
Improving yield through image-based structural analysis of cereals. Feeding an increasing world population under the threat of climate change requires the development of new plant varieties capable of delivering higher yield in more marginal conditions. This project will develop image-based technologies for accurately estimating plant yield which will improve the effectiveness of plant breeding processes.