A design project of a new type of intelligent conflagration alarm instrument based on multi-sensors data fusion technology is proposed.
提出一种基于多传感器信息融合技术的智能型火灾报警测控仪的设计方案。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
Due to the reasons of sensors in itself and the communication delays, the research of the asynchronous multisensor data fusion problem is more practical than that of synchronous one.
由于传感器自身以及通信延迟等原因，使得异步多传感器数据融合问题比同步问题的研究更切合实际。
In order to grasp objects safely and reliably, the information fusion should be carried out for the output data of multi-sensors.
为了保证手爪能安全、可靠地抓取工件，必须对这些传感器的数据进行融合。
Proposes to measure the wrist force using the data fusion method according to output variance of finger force sensors on the gripper.
提出根据手爪上的多个指力传感器的输出变化，通过数据融合方法得到腕力的数值。
A new data fusion method called obstacle group identification was proposed. This method is based on grid map created by using laser and ultrasonic sensors.
利用激光和超声波传感器在用栅格表示法形成地图的基础上，提出了进行数据融合以提取环境特征的新方法：识别障碍物群。
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。
In order to improve the positioning performance of the Beidou satellite, an algorithm of data fusion between Beidou satellite and on-board sensors in vehicle is proposed based on Kalman filter.
为了改善北斗卫星定位性能，基于卡尔曼滤波设计了北斗卫星与车载传感器的数据融合算法。
The paper introduces the application of adaptive weighting data fusion technology to realize the complementation for the function of two kinds of sensors.
应用自适应加权数据融合技术，实现两种传感器在功能上的互补。
Currently there exist several asynchronous measurement fusion algorithms, namely, firstly strict synchronizing sensors asynchronous data and deal with them with parallel or pseudo-sequential filter.
归纳几种多传感器异步量测融合算法，即首先将各传感器异步数据统一到同一时刻，再对该数据进行并行或伪序贯滤波处理。
Study obstacle detection problem of data fusion based on multi-sensors.
研究了基于多传感器数据融合的障碍检测问题。
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。
Firstly, Wavelet packet transform is introduced to extract features of vibration measured data and information fusion of data layer is conducted by assembling feature vectors of different sensors.
首先应用小波包变换对结构振动测试数据进行特征提取，通过不同传感器特征向量的合成完成数据层融合；
The data fusion level module mainly handles the metrical data of the multi-sensors, the soft metrical data and the working condition data of the system.
数据级融模块主要处理多传感器测量数据，软测量数据和系统的干扰数据。
The data sources for a fusion process are not specified to originate from identical sensors.
融合处理的数据源并不是特指由相同的传感器产生。
In this paper, the intelligence method of data fusion about multiple sensors control system is discussed.
本文研究了多传感器组合系统的智能化数据融合方法。
For data fusion algorithms of multi-sensors, the D-S rule is widely used extensively. But it can not resolve the problem of feature collision ideally.
在多传感器特征信息融合算法中，D - S理论得到了广泛应用，但该理论在处理多特征冲突问题时识别效果不十分理想。
The data fusion level module mainly handles the metrical data of multi-sensors and extracts the feature of faults.
数据级融合模块主要对多传感器的测量信号进行处理，提取出故障诊断的特征信息。
A method of grey superior analysis based on adaptive weighted data fusion is used to process the multi-sensors data.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
The total number of estimation errors from data fusion will be decreased when layers of virtual sensors are increased.
虚拟传感器的层数增加时，融合后总的估计误差将减少。
The common problem of it is that the surveillance area is generally large, hence it is difficult to arrive at an useful data fusion architecture due to timing, accuracy and different types of sensors.
由于海上侦察目标区域过大，且时间、精度和不同类型传感器的原因，使得设计的数据融合系统实用性不强。
A new effective data-fusion method is presented, which can eliminate the errors by using double sensors. First, the two sensors′ images are mapped into the light knife plane;
基于此，提出了一种采用双传感器，并将两个传感器图像映射到光刀平面上，然后再对其进行面内融合处理最后提取中心线的方法。
According to outputs of eight finger force sensors the grasping force of gripper is obtained using the multi-sensor data fusion technique based on the BP artificial neural network.
针对舱外自由移动机器人手爪，运用BP神经网络方法，对八个指力传感器的输出进行融合，得到手爪夹持力的大小。
This paper deals synthetically with the signal derived the various sensors via the technique of data fusion, and founds the model of separating the instantaneous coupling signal, I.
采用数据融合技术，对来自不同光纤传感器的信号进行综合处理，建立了分离光纤传感器中的时变耦合信号模型，即多光纤传感器的复用和数据融合的模型。
This paper deals synthetically with the signal derived the various sensors via the technique of data fusion, and founds the model of separating the instantaneous coupling signal, I.
采用数据融合技术，对来自不同光纤传感器的信号进行综合处理，建立了分离光纤传感器中的时变耦合信号模型，即多光纤传感器的复用和数据融合的模型。
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