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Field of Research : Intelligent Robotics
Field of Research : Computer Vision
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  • Researchers (15)
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  • Funded Activity

    Discovery Projects - Grant ID: DP1093448

    Funder
    Australian Research Council
    Funding Amount
    $798,000.00
    Summary
    Cost-effective autonomous systems for large scale monitoring of marine protected areas. This project seeks to develop autonomous technologies that will enable Australia's expanding system of marine protected areas (MPAs) to more effectively preserve marine biodiversity and long term ecosystem function through scalable, cost-effective monitoring. Monitoring will enable MPA managers to assess whether preservation and sustainability goals are being met and to adapt zoning policies in response. Au .... Cost-effective autonomous systems for large scale monitoring of marine protected areas. This project seeks to develop autonomous technologies that will enable Australia's expanding system of marine protected areas (MPAs) to more effectively preserve marine biodiversity and long term ecosystem function through scalable, cost-effective monitoring. Monitoring will enable MPA managers to assess whether preservation and sustainability goals are being met and to adapt zoning policies in response. Australia will benefit from informed sustainable use policies that preserve the marine environment for future generations without unnecessarily restricting recreational and commercial access today.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452416

    Funder
    Australian Research Council
    Funding Amount
    $201,000.00
    Summary
    Visual Tracking: Geometric Fitting and Filtering. One of the most elementary things that people and sighted animals do is to follow moving objects with their eyes. Movement is a cue to the importance and relevance of objects in a scene. Visually tracking objects allows the determination of important characteristics - distance to the object, shape of the object, likely behaviour of the object etc. Though systems have been built that can perform visual tracking: accuracy and reliability must be i .... Visual Tracking: Geometric Fitting and Filtering. One of the most elementary things that people and sighted animals do is to follow moving objects with their eyes. Movement is a cue to the importance and relevance of objects in a scene. Visually tracking objects allows the determination of important characteristics - distance to the object, shape of the object, likely behaviour of the object etc. Though systems have been built that can perform visual tracking: accuracy and reliability must be improved though a better understanding of the underlying processes. Applications include visual inspection (industrial automation), surveillance (civil and military), robot vision for scene understanding and navigation, multimedia production (automatic human motion capture for example), and human computer interfaces.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451859

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements fo .... Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements followed by experimental verification is necessary. For smart cars to be accepted, the systems must be demonstrated to be reliable and to operate in a wide range of conditions.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775672

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    3D Scanning and Printing Facilities (3DSPF). A one-stop shop is proposed to accommodate 3D scanning and printing facilities in WA to advance a range of research projects currently undertaken by internationally renowned researchers in their respective fields. The facility will impact on our research programs in a wide range of disciplines including rapid prototyping, robotics, geomatics, demining, nanotechnology, and molecular modeling. These projects are of high significance and will advance res .... 3D Scanning and Printing Facilities (3DSPF). A one-stop shop is proposed to accommodate 3D scanning and printing facilities in WA to advance a range of research projects currently undertaken by internationally renowned researchers in their respective fields. The facility will impact on our research programs in a wide range of disciplines including rapid prototyping, robotics, geomatics, demining, nanotechnology, and molecular modeling. These projects are of high significance and will advance research in most of the national priorities. The facility can also be used for training and teaching purposes. The facility builds on a previous long range scanning facility and on the State Government's support of leading edge computational and visualization facilities.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991771

    Funder
    Australian Research Council
    Funding Amount
    $788,800.00
    Summary
    Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologi .... Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologies for Building and Transforming Australian Industries by enabling a wide range of robotic vehicle applications, including aerial, submersible, and wheeled vehicles.
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    Funded Activity

    Linkage Projects - Grant ID: LP0668209

    Funder
    Australian Research Council
    Funding Amount
    $76,000.00
    Summary
    Vision Based Guidance, Navigation and Control of a Tail-Sitter Unmanned Aerial Vehicle. The development of a high precision visual guidance system for vertical takeoff and landing UAVs will significantly enhance their operational effectiveness by allowing them to land accurately on the back of small vessels or in confined clearings. Together with the extra navigation-system redundancy vis-a-vis GPS system failure and the ability to self-identify reasonable emergency landing sites, the proposed v .... Vision Based Guidance, Navigation and Control of a Tail-Sitter Unmanned Aerial Vehicle. The development of a high precision visual guidance system for vertical takeoff and landing UAVs will significantly enhance their operational effectiveness by allowing them to land accurately on the back of small vessels or in confined clearings. Together with the extra navigation-system redundancy vis-a-vis GPS system failure and the ability to self-identify reasonable emergency landing sites, the proposed vision-based system represents a significant capability improvement over what is currently available. It will thus enhance the ability of defence and civil-defence units to patrol Australian borders effectively and to react to threats. It will also have significant export potential to allied nations.
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    Showing 1-6 of 6 Funded Activites

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