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Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry

Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry
使用随机几何进行多对象过滤的高效算法
批准号:
DP0989007
负责人:
Prof Ba Tuong Vo
金额:
$17.32万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2009
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2009-01-06 至 2012-03-31

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中文摘要
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英文摘要
The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational advantage, in line with the national research priority of 'Safeguarding Australia' and its associated priority goals. The developed technologies also have significant commercial potential which benefit Australian industries in areas such as robotics, automotive safety and biomedical engineering.
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A Bayesian Approach to Distributed Estimation for Multi-Object Systems
  • 批准号:
    FT210100506
  • 项目类别:
    ARC Future Fellowships
  • 资助金额:
    $71.64万
  • 财政年份:
    2022
  • 负责人:
    Prof Ba Tuong Vo
  • 依托单位:
Signal separation and tracking for augmented hearables and wearables
  • 批准号:
    DP170104854
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $24.98万
  • 财政年份:
    2017
  • 负责人:
    Prof Ba Tuong Vo
  • 依托单位:
From Bayesian filtering to smoothing and prediction for multiple object systems
  • 批准号:
    DE120102388
  • 项目类别:
    Discovery Early Career Researcher Award
  • 资助金额:
    $26.91万
  • 财政年份:
    2012
  • 负责人:
    Prof Ba Tuong Vo
  • 依托单位:
海外基金