密集地区分布式监测系统的合作

A. Benaskeur, A. Khamis, H. Irandoust
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引用次数: 3

摘要

在本文中,我们设想了一个分布式监控系统,其中不同模式的空间分布式传感器可以协同和连续地感知大规模,动态,密集和半结构化的环境。本文讨论了在复杂和密集环境下的监视操作,如沿海地区,并描述了分布式监视系统的关键特征。人工智能和/或人类智能体之间的有效和稳健的合作可以协同提高这些系统的性能,并赋予它们更高水平的能力,如合作目标检测和跟踪。文中提到了分布式监测系统中不同形式的合作活动。本文重点研究了作为分布式监控中合作的补充形式的平台内部和平台之间的目标提示和切换。
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Cooperation in distributed surveillance systems for dense regions
In this paper, we envision a distributed surveillance system where spatially distributed sensors of different modalities can sense collaboratively and continuously large-scale, dynamic, dense and semi-structured environments. The paper discusses surveillance operations in complex and dense environments, such as littoral regions, and describes the key features of distributed surveillance systems. Effective and robust cooperation among the artificial and/or the human agents can synergistically improve the performance of these systems and can endow them with higher-level faculties, such as cooperative target detection and tracking. Different forms of cooperative activities in distributed surveillance systems are mentioned. The paper focuses on intra and inter-platform target cueing and handoff as augmentative forms of cooperation in distributed surveillance.
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