加拿大军队应用的数据融合

D. Gains
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引用次数: 0

摘要

我们描述了与加拿大军队潜在利益的两种应用相关的数据融合技术。第一个应用是本地态势感知系统(LSAS),而第二个应用是多功能监视平台。LSAS提高了装甲车乘员在不离开车辆相对安全的情况下识别和定位威胁和危险的能力。它的设计主要是为了保护参战的士兵。监视应用程序增强了操作员检测和跟踪感兴趣对象的能力。这在有大量紧密间隔的潜在目标的现代环境中是理想的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data fusion for Canadian army applications
We describe data fusion technology relevant to two applications of potential benefit to the Canadian army. The first application is a local situational awareness system (LSAS) while the second is a versatile surveillance platform. The LSAS improves an armored vehicle crew's ability to recognize and locate threats and hazards without leaving the relative safety of their vehicle. It is designed primarily to protect the soldiers involved. The surveillance application augments an operator's ability to detect and track objects of interest. This is desirable in modern environments where there are large numbers of closely spaced potential targets.
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