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: The University of Western Australia
• 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
• 起止时间: 2009-01-06 至 2012-03-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0989007
• 关键词: Efficient; Algorithms; Multiple; Object; Filtering

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.

该项目的成果将提高我们利用传感和计算技术进步的能力，并开发自动化系统，以促进对我们的空中，海上和陆地空间的潜在威胁进行快速可靠的检测和监测。这些系统协助我们的国防人员在受到威胁时采取有分寸和有效的应对措施，并根据“保护澳大利亚”的国家研究优先事项及其相关优先目标，最终加强澳大利亚的作战优势。 开发的技术也具有巨大的商业潜力，使澳大利亚工业在机器人、汽车安全和生物医学工程等领域受益。