1) sensor information fusion
传感器信息融合
1.
Multi-sensor information fusion is an intensive research topic in the field of mobile robot.
多传感器信息融合是目前移动机器人领域的主要研究热点。
2) multisensor data fusion
多传感器信息融合
1.
This paper mainly discusses the conception of Multisensor data fusion and the Dempster Shafer s evidence theory.
研究了多传感器信息融合技术应用于复杂设备系统状态监测和故障诊断的方法。
2.
Therefore technology of multisensor data fusiondeveloped rapidly, and was applied widely to modern C~3I systems and military fields.
为此，多传感器信息融合技术便迅速的发展起来，并在现代C~3I系统中和军事领域中得到了广泛的应用。
3.
Military research applicable to multisensor data fusion(MSDF)is being carried on in the areas of Intelligence Surveillance and Reconnaissance(ISR)sensors.
近年来,情报、监视和侦察领域的多传感器信息融合技术研究飞速发展,应用领域不断扩展,显示出巨大的优越性,发挥了重要作用。
3) multi-sensor data fusion
多传感器信息融合
1.
Neural network based multi-sensor data fusion in the mobile robots;
基于神经网络的多传感器信息融合技术在移动机器人中的应用
2.
For improving vehicle detecting veracity on free-way, this paper developed a multi-sensor data fusion model based on the Idiotypic Network Theory(INT).
在独特型网络的基础上,设计了一种应用于高速公路上,装载CCD和雷达的车辆多传感器信息融合模型。
3.
An obstacle detecting system based on multi-sensor data fusion is proposed.
提出了一种基于多传感器信息融合的障碍物检测系统。
4) Multisensor information fusion
多传感器信息融合
1.
Torque measurement for rotating mechanisms based on multisensor information fusion;
基于多传感器信息融合的旋转机械扭矩测量
2.
The schemes of distributed hierarchical intelligent control,methods of multisensor information fusion and controller expert fuzzy neural networks are proposed for complex industrial process.
研究了复杂工业系统的现场数据检测、信息融合、控制、管理与决策及运行状态等特点 ,提出了一种分布式递阶智能控制方法、多传感器信息融合处理方法和专家模糊神经网络的过程控制器。
3.
By using the Kalman filtering method and the linear minimum variance optimal fusion rule weighted by matrices,a multisensor information fusion Wiener filter is presented for the multichannel autoregressive moving average(ARMA) signals with white observation noise.
应用Kalman滤波方法,在按矩阵加权线性最小方差最优信息融合规则下,提出了带白色观测噪声的多通道ARMA信号的多传感器信息融合Wiener滤波器。
5) multi-sensor fusion
多传感器信息融合
1.
A brief survey on the research status and key technology of autonomous mobile service robot such as multi-sensor fusion,path planning and navigation,power technology and man-machine interface are given,and some possible problems and solution approaches of the future development are also presented.
简要介绍了国内外服务机器人的研究背景及其发展现状,对自主移动机器人的关键技术即多传感器信息融合技术、路径规划与导航技术、电源技术和人-机交互技术分别进行了介绍,并对目前存在的主要问题和解决方法进行了探讨。
6) multi-sensor information fusion
多传感器信息融合
1.
Study on coagulation dosing process control based on multi-sensor information fusion;
基于多传感器信息融合的混凝加药过程控制研究
2.
Condition Monitoring and Multi-sensor Information Fusion for the Manufacturing System;
制造系统的状态监测与多传感器信息融合
3.
Survey of mobile robot navigation technology based on multi-sensor information fusion;
基于多传感器信息融合的移动机器人导航综述
补充资料：变压器式传感器
利用变压器作用原理把被测位移转换为初、次级线圈互感变化的变磁阻式传感器。它由两个或多个带铁心的线圈构成，初、次级线圈间的互感能随衔铁或两个线圈间的相对移动而改变。当用适当频率的电压激励初级线圈时,次级线圈的输出电压将随互感的改变而变化,从而将被测位移转换为电压输出。这种传感器在使用中常采取两个同名端串接的次级绕组线圈，以差动方式输出，所以又称为差动变压器式传感器。变压器式传感器的特点与电感式传感器相同，有时亦称电感式传感器。但变压器式传感器在设计上具有更大的灵活性，应用更为广泛。旋转变压器、感应同步器、自整角机都属于变压器式传感器。变压器式传感器主要用于测量位移和能转换成位移量的力、张力、压力、压差、加速度、应变、流量、厚度、比重、转矩等参量。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条