Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.Read moreRead less
Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safe ....Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safety view points, that a way be found to ensure reliable and viable operation of complex plants. A first step in achieving this goal is to detect faults on-line and in real-time when they occur and identify their location and characteristics, which is the aim of this project.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101365
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid inform ....In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid information, for instance by utilising exact head-pose information. The outcome is a working prototype producing live full-body animations, thus leveraging new applications in the Information Technology industry. Highly strategically relevant examples are given by 3D tele-presence, enhanced tele-operation, robotics, and intelligent transportation systems.Read moreRead less
Fisheries Digital Data Framework: A Workshop To Share Vision, Evolve Requirements For Fisheries Data
Funder
Fisheries Research and Development Corporation
Funding Amount
$26,347.32
Summary
For FRDC to further investment into the fisheries data space, it must first understand industry needs as well as concerns. It is hoped that this workshop will devlop a way forward for FRDC in the data-space, informing a plan that enables both industry and commercial entities to benefit. Objectives: 1. Re-discover the opportunity of – and blockers to – using data to drive industry sustainability & growth 2. Unpack concerns around data governance from the FRDC board ....For FRDC to further investment into the fisheries data space, it must first understand industry needs as well as concerns. It is hoped that this workshop will devlop a way forward for FRDC in the data-space, informing a plan that enables both industry and commercial entities to benefit. Objectives: 1. Re-discover the opportunity of – and blockers to – using data to drive industry sustainability & growth 2. Unpack concerns around data governance from the FRDC board 3. Capture additional industry hopes, requirements and concerns about data capture, sharing, governance and applications 4. Develop a Now-Next-Long Roadmap – with task owners – to address requirements & concerns, remove blockers. Read moreRead less
Building A Data-driven Jurisdictional Stock Status Reporting Platform
Funder
Fisheries Research and Development Corporation
Funding Amount
$143,401.48
Summary
Currently reporting processes are highly manual with exchange of documents between authors and reviewers as well as copy-editing/formatting administered by the FRDC. Automation of reports would remove these manual inefficiencies freeing up the time of FRDC, authors and reviewers alike, enabling them to focus more on the research and less on the reporting commitments of SAFS. Automation of reporting could also disrupt the current biannual timeline currently applied to SAFS. With automated reporti ....Currently reporting processes are highly manual with exchange of documents between authors and reviewers as well as copy-editing/formatting administered by the FRDC. Automation of reports would remove these manual inefficiencies freeing up the time of FRDC, authors and reviewers alike, enabling them to focus more on the research and less on the reporting commitments of SAFS. Automation of reporting could also disrupt the current biannual timeline currently applied to SAFS. With automated reporting, jurisdictions do not require FRDC administration of the authoring process and would be able to update reports on timelines that align with other jurisdictional commitments (i.e. the production of their own status reports) - this will also enable a more timely update should stock status change. More so, jurisdictions currently undertake SAFS reporting in addition to their own jurisdictional reporting, as they are often required to report on broader issues that are consider too 'bespoke' to be considered in a national report. Automation of reports, enables jurisdictions to produce reports that align with SAFS as well as their own jurisdictional requirements in one system, streamlining the concurrent reporting processes into one reporting process. This works by ensuring that a the system is built to support reporting of fields critical for SAFS as well as fields necessary for the relevant jurisdictional reporting (FRDC then generate the SAFS reports pulling fields only relevant to SAFS whilst the jurisdictions can report more broadly by publishing the fields they require - acknowledging that bespoke jurisdictional reports would still be subject to the same rigorous peer review process of the SAFS report to ensure integrity of the reports) Objectives: 1. Create a platform for jurisdictional data driven stock status reports Read moreRead less
Electrophoretic Identification Of Fish Species Or Salmon On Friday But Barramundi
Funder
Fisheries Research and Development Corporation
Summary
Objectives: 1. Investigate the characteristic banding patterns of fish proteins obtained by electrophoresis with a view to establishing a library of identification for Australian species
What learning is there in learning control? This project seeks to establish a meaningful definition and quantifiable measure of learning in the context of adaptive or learning control. The project is designed within the context of human motor skill learning, and assesses the speed of learning and the quality of learning (reflected by the accuracy of the motor task execution). The project plans to use measures to provide a mathematically precise meaning for the notion of learning. The outcome has ....What learning is there in learning control? This project seeks to establish a meaningful definition and quantifiable measure of learning in the context of adaptive or learning control. The project is designed within the context of human motor skill learning, and assesses the speed of learning and the quality of learning (reflected by the accuracy of the motor task execution). The project plans to use measures to provide a mathematically precise meaning for the notion of learning. The outcome has the potential to be applied to the design of technology-assisted training of motor skills, from the recovery of lost motor skills after trauma to the development of elite athletes.Read moreRead less
Investigation Of The Potential For Automatic Ageing Using Image Analysis: A Pilot Study
Funder
Fisheries Research and Development Corporation
Funding Amount
$43,294.00
Summary
Objectives: 1. Develop new methods for semi-automatic/automatic ageing of sectioned otoliths using image analysis software. 2. To validate automatic ageing using known age samples from species with clear otoliths. 3. To evaluate the potential of artificial neural networks for the process of objective age determination of fish.