Engineering Artificial Intelligence: A Spatial Representation and Reasoning Perspective
Engineering Artificial Intelligence: A Spatial Representation and Reasoning Perspective
批准号:
FT0991917
负责人:
Prof Dr Jochen Renz
金额:
$56.26万
依托单位国家:
澳大利亚
项目类别:
ARC Future Fellowships
财政年份:
2010
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2010-04-20 至 2014-04-19
中文摘要
空间信息在采矿和勘探、环境监测和规划、应急反应和国防等涉及国家利益的领域非常重要。例如,任务控制中心从卫星、雷达或地面人员那里接收不同形式的空间数据。他们必须在非常有限的时间内处理输入数据并做出明智的决定。能够有效协助处理不同形式的空间数据并提供可靠决策支持的智能系统对于提高这类应用程序的质量和可靠性至关重要。这项研究使未来的智能系统具有这些能力。这将直接惠及国家利益领域的申请。
英文摘要
Spatial information is important in areas of national interest such as mining and exploration, environmental monitoring and planning, emergency response, and defence. Mission control centres, for instance, receive different forms of spatial data from satellites, radar, or people on the ground. They have to process the input data and make intelligent decisions in a very limited time. Intelligent systems that are able to assist with processing different forms of spatial data efficiently and that offer reliable decision support are essential for improving the quality and reliability of such applications. This research enables future intelligent systems with these capabilities. This will directly benefit applications in areas of national interest.
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会议论文
Artificial intelligence meets wireless sensor networks: filling the gaps between sensors using spatial reasoning
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批准号:DP120103758
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项目类别:Discovery Projects
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资助金额:$22.91万
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财政年份:2012
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负责人:Prof Dr Jochen Renz
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依托单位:
海外基金