Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.
传感器融合也称为(多传感器)数据融合，并作为信息融合的子类。
By applying the method to the target identification, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensor data fusion method.
将该方法用于一个目标识别任务的仿真实验，结果表明应用该方法能确定地识别出目标，是一种有效可行的多传感器数据融合方法。
This paper presents a temperature measurement system for grain depot based on multi-sensor data fusion, and gives the data fusion algorithm.
提出了一种基于多传感器数据融合的粮库温度监测系统，给出了数据融合算法。
This paper advances an invasion detection model in the network security based on multi-sensor data fusion, and introduces in detail the structure of invasion detection system.
提出了网络安全中基于多传感器数据融合技术的入侵检测模型，并对入侵检测系统的体系结构进行了详细介绍。
Fire alarm system based on multi-sensor information fusion is composed of sensors, data fusion processor, concentrated controller, alarm, executing, and communication modules.
基于多传感器数据融合的火灾预警系统由传感器、数据处理融合、集中控制器、报警、执行和通信等模块组成。
This paper introduces the design method for intensive electromagnetic field measuring system with respect to multi sensor data fusion and virtual instruments.
本文主要从多传感器数据融合和虚拟仪器两方面介绍了一种电磁场强测量系统的设计方法。
The application of multi-sensor data fusion in theodolite could enhance the reliability and automatization of instrument as well as the precision of tracking and real-time output.
多传感器信息融合技术在经纬仪系统中的应用，可以提高仪器的可靠性和自动化程度，以及仪器的跟踪精度和实时输出精度。
Analyses the necessity and the feasibility of that the multi-sensor data fusion technology was applied in VTS. Putting forward the data processing model.
此文分析了多传感器数据融合技术在VTS中应用的必要性和可行性，提出了应用于VTS中的数据融合处理模型。
With people's requirement to multi-sensor data fusion system performance becomes higher and higher, it can not achieve the requirement only rely on one fusion method.
随着人们对多传感器数据融合系统的性能要求越来越高，仅仅依赖某一种融合方法是难以达到要求的。
This paper presents the approaches of multi sensor (radar and infrared sensor) data fusion for object recognition and tracking, which can make use of the complement and redundancy of data.
考虑到单传感器的系统存在着局限性，提出了基于多传感器(雷达和红外)信号融合的目标识别和跟踪系统，以利用数据的互补和冗余。
With the analysis of the Environment Multi-sensor Data Fusion process in, this thesis brings out the simulation testing system structure, and describes function of its every module.
通过对多传感器信息融合处理环境的分析，给出了仿真测试系统的总体结构，对各模块的功能进行了描述。
D-S evidence theory is applied in the multi-sensor data fusion, the generalized method of the data fusion is proposed and applied in the fault diagnosis of the hydraulic pump.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
D-S evidence theory was applied in the multi-sensor data fusion, the generalized method of the data fusion was proposed and applied in the fault diagnosis of the hydraulic pump.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
Multi-sensor data fusion has attracted a wide spread attention, its theory and methods have been applied to a lot of research fields in recent years.
近年来，多传感器数据融合技术已受到广泛关注，它的理论和方法已被应用到许多研究领域。
In view of the heavier calculation burden and worse real-time of asynchronous fusion center, a multi-sensor asynchronous data fusion algorithm based on estimate covariance control was proposed.
针对异步融合中心计算量大、实时性差的问题，基于估计协方差控制理论提出了一种多传感器异步数据融合算法。
This paper designs an image recognition system based on BP neural network and multi-sensor data fusion.
设计了一种基于BP网络和多传感器数据融合的图像识别系统。
In this paper, a method of multi-sensor data fusion using neural network in integrated navigation system is given, and then a fault-tolerant algorithm is proposed.
研究了应用线性网络对组合导航多传感器信息进行融合的方法，在此基础上提出了一种神经网络组合导航容错算法。
The method of CIR based on multi-sensor data fusion technique is feasible and more reliable.
基于多传感器数据融合的煤岩界面状态识别的方法是可行的。
According to the noise contained in many sensor data, an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed.
针对多传感器测量数据中含有的噪声，提出一种基于多传感器支持度和自适应加权时空融合算法。
The global optimal multi-sensor data fusion system and the local optimal decision rules are studied, respectively.
研究了全局最优融合系统以及局部传感器的最优判决准则。
The application of digital image processing, artificial neural network, multi-sensor data fusion and virtual instrument techniques to nondestructive testing are discussed.
介绍了数字图像处理、人工神经网络、多传感器信息融合技术以及虚拟仪器技术在无损检测中的应用情况。
Based on the data fusion theory of multi-sensor, a kind of method of more cycle measure and data fusion is suggested.
依据多传感器数据融合原理的多周期检测数据融合处理方法，对滤除采样中的干扰信号、提高端面侧摆检测的准确性均十分有效。
Experiment results show that the data fusion result is better than that of single sensor and the multi-sensor data fusion method is effective.
实验结果证明了数据融合后，声发射源特性识别的可靠性明显大于单个传感器的识别效果，这也表明了多传感器融合识别的可能性和有效性。
The fuzzy variable recognition model of multi-sensor data fusion system is established, and then the model is applied to multi-sensor data fusion system for parts recognition.
建立了多传感器信息融合系统中的可变模糊识别模型，把可变模糊方法应用到多传感器信息融合工件识别中，并用一个具体的实例验证了该方法的合理性与可行性。
The paper first proposes two fusion methods of local integration and global integration to fusion multi-sensor data underground coal mine.
本文首次提出了运用局部融合和全局融合两级融合的方法对煤矿井下多传感器数据进行融合。
Secondly, for multi-sensor multi-target tracking, data association is one of important problems, and is the precondition of data fusion.
其次，对于多传感器多目标跟踪问题，数据关联是其中一项重要问题，也是实现多传感器数据融合的前提。
The theory method of multi-sensor data fusion is studied deep. And more, the estimate theory of data fusion is applied concretely to the theodolite with the aim of prognosticating the object state.
深入研究了多传感器数据融合的理论方法，并实验研究了数据融合的估计理论在光电经纬仪中的应用，目的是实现对目标状态的预测。
This paper applies genetic programming (GP) to the multi sensor failure detection and recovery, which is a new technique applied in the area of the multi sensor data fusion. GP is based on GA.
本论文主要是研究遗传编程（GP）在多传感器故障的数据融合诊断与恢复中的应用，即用一种全新的数据处理方法应用于多传感器信息融合领域。
Multi-sensor information fusion refers to the synergistic combination of sensory data from multiple sensors to provide more reliable and accurate information.
多传感器信息融合是指综合来自多个传感器的感知数据，以产生更可靠、更准确或更精确的信息。
The Data fusion is a synthesis processing from multi-sensor or multi-source information, to draw a more accurate and credible conclusion.
数据融合就是将来自多个传感器或多源的信息进行综合处理，从而得出更为准确、可靠的结论。
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