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fusionANDwk.rar
- 基于matlab的几个kalman滤波以及多传感器融合和wk算法的程序
基于多传感器的神经网络模式识别方法
- 基与多种智能方法和模式识别技术的研究,如果你也在从事相关研究,一定要看看,我想应该有借鉴价值-base with a variety of intelligent methods and pattern recognition techniques, but if you are engaged in related research, we must look at, I think there should be a reference value
vertical
- 此算法为多传感器目标定位法,是基于实现交叉定位,采用公垂线法。-algorithm for the multi-sensor target identification, is based on the realization of cross-positioning, use common vertical line method.
Multisensorrefusion
- 本程序采用matlab编程,通过设计训练一个人工神经网络来达到其对一个4传感器实时检测输出结果融合判断的模拟,文中涉及人工圣经网络和多传感器融合两们学科的基本知识。-the procedures used Matlab programming, through the design of a training artificial neural network to achieve its right to a four-detection sensor fusion output judgme
fusionANDwk
- 基于matlab的几个kalman滤波以及多传感器融合和wk算法的程序-Matlab based on several kalman filtering and multi-sensor fusion algorithm and procedures wk
MSDF
- 基于无味卡尔曼滤波的多传感器数据融合,采用UK方法进行采样,获得系统中未知参数的辨识。-Unscented Kalman filter based on the multi-sensor data fusion, using UK methods of sampling, access to the system to identify the unknown parameters.
matlab
- 实现毫米波雷达与红外雷达的数据融合算法研究多传感器数据融合算法-The realization of millimeter-wave radar and infrared radar data fusion algorithm for multi-sensor data fusion algorithm
fusion
- 电子科技大学的一篇关于多传感器融合的好文章,请站长审阅-University of Electronic Science and Technology of multi-sensor fusion on a good article, please review head
21
- 多传感器数据融合系统中时间配准算法分析,非常有用-An analysis of time registration in multi—sensor data fusion system
Sensor_Information_Fusion_and_Its_Application_in_R
- 传感器信息融合及其在机器人中的应用 摘要:多传感器信息融合即融合多个传感器提供的冗余、互补或更实时的信息,可以获得系统所需的 更准确和更精确的信息。介绍了神经网络融合方法,探讨了信息融合技术在机器人方面的应用。机器 人避障实验验证了所提方法的有效性。 关键词:多传感器信息融合(MIF);神经网络;移动机器人;避障;-Sensor Information Fusion and Its Application in Robot Summary: Multi-sensor data f
DATAFUSION
- 借用模糊控制策略 ,与改进的BP 神经网络算法结合对其进行数据融合。在仿真中取得了比已往算法更高的精度 ,控制策略制定准确、 可靠。是一种较有潜力的多传感器数据融合方法。-Data fusion
luoji
- matlab用于多传感器多目标航迹跟踪预测,实验结果很好-matlab for multi-sensor multi-target tracking forecast track, the experimental results very well
multisensor
- 多传感器数据融合:将MATLAB语言应用到多传感器数据融合中,书中给出了大量的仿真实例-multisensor Data Fusion with matlab
Kalmanandwinner
- 基于现代时间序列的多传感器信息融合Kalman滤波器与Wiener滤波器.NH格式论文-data fusion using kalman and winner filter
sjwlshijian
- 神经网络用于多传感器时间对准,对准数值精度明显高于三次样条插值的结果-Time neural network for multi-sensor alignment, Alignment numerical accuracy significantly higher than the results of cubic spline interpolation
information-fusion-algorithm
- 本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数,并且由此似然函数得到每个传感器提供信息的可信度;再将各传感器的可 信度转化成基本概率赋值函数即mass 函数;最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。-The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probabl
multirobot
- matlab多传感器融合中关于多机器人系统中的目标定位数据融合方法-multi robot position identification in data fusion
46899
- 基于MEMS和GPS信息的多传感器信息融合(Multisensor information fusion)
多光条标定
- 文件包含多光条传感器标定源码 包含多光条棋盘格标定用图,可以直接使用(File contains multi light stripe sensor calibration source It can be used directly with the chessboard calibration of multi light stripes)
多传感器定位算法
- 使用多种算法(DAC、Hyperbolic、DAC、SI、SX、Taylar)实现多传感器对单点定位(采用高斯噪声),其中Hyperbolic与SI为3d定位,其他的为平面定位(Using a variety of algorithms (DAC, Hyperbolic, DAC, SI, SX, Taylar) to achieve single point positioning (using Gauss noise), Hyperbolic and SI are 3D location,