From Bayesian filtering to smoothing and prediction for multiple object systems

从贝叶斯过滤到多对象系统的平滑和预测

• 批准号: DE120102388
• 负责人: Prof Ba Tuong Vo
• 金额: $ 26.91万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2012
• 资助国家: 澳大利亚
• 起止时间: 2012-01-02 至 2016-03-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE120102388
• 关键词: Bayesian; filtering; smoothing; prediction; multiple

This project will develop new and improved algorithms for tracking multiple targets, such as tanks, submarines or planes, using the state of the art in mathematical and computational design. These will enable more efficient and accurate technologies for defence related applications including intelligence, surveillance and reconnaissance.

该项目将开发新的和改进的算法，用于跟踪多个目标，如坦克，潜艇或飞机，使用最先进的数学和计算设计。这将使更有效和准确的技术用于国防相关应用，包括情报，监视和侦察。