基于蒙特卡罗方法的传感器网络协同数据融合跟踪

29th Annual IEEE International Conference on Local Computer Networks Pub Date : 2004-11-16 DOI:10.1109/LCN.2004.34

Y. Wong, J. K. Wu, L. Ngoh, L. Wong

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引用次数: 10

摘要

传感器网络的多模态特性及其潜在的大规模部署产生了高维网络数据。提出了一种基于粒子滤波的分层协同数据融合方案，用于目标跟踪的跨传感器融合和跨模态融合。

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Collaborative data fusion tracking in sensor networks using Monte Carlo methods

The multi-modality nature of sensor networks and their potentially large-scale deployment have generated highly dimensional network data. This paper proposes a hierarchical collaborative data fusion scheme based on particle filters for cross-sensor fusion and cross-modality fusion for target tracking applications.

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来源期刊

29th Annual IEEE International Conference on Local Computer Networks

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