搜索资源列表
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7下载：
多传感器多目标数据融合的ＩＭＭ＿ＭＳＰＤＡ关联算法，算法结果表明多模型算法用于跟踪机动目标的良好性能。-Multi-target multi-sensor data fusion IMM_MSPDA association algorithm, the algorithm results show that the multiple model algorithm for tracking maneuvering targets good performance.
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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
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一种同质的多传感数据融合新算法，克服了融合过程中必须依赖于多传感数据之间关系阀值的人为经验设置问题-Of a homogeneous multi-sensor data fusion algorithms, to overcome the integration process must rely on the relationship between multi-sensor data set the threshold issue of human experience
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Matlab examples of "Multi sensor data fusion with Matlab" Book
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杨万海《多传感器数据融合》P44页算法的具体实现，在MATLAB运行-Yang Wanhai" P44" page of multi sensor data fusion algorithm in the concrete realization, in the MATLAB run
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介绍多传感器融合的一本经典著作，对学习算法很有帮助，用matlab编写-On a classic multi-sensor fusion, and helpful to the learning algorithm using matlab
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卡尔曼滤波器完成多传感器融合算法，不同机器人的不同传感器对足球位置进行估计，融合不同传感器数据得到精确估计-Kalman filter to complete the multi-sensor fusion algorithm, the different sensors of the robot football position estimates, the integration of different sensor data accurate estimate of
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卡尔曼滤波器完成多传感器数据融合。对多个机器人的不同传感器数据进行融合估计足球精确位置。-Kalman filter to complete the multi-sensor data fusion. Multiple robots of different sensor data fusion estimation football precise location.
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对多传感器数据进行加权融合，该算法中提出来扩展支持度矩阵，用Matlab进行仿真。-Weighted multi-sensor data fusion, the algorithm proposed to extend the support matrix, using Matlab simulation.
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ExtKalmanTracking For kalman filter data fusion multi sensor with simulink matlab
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多传感器信息融合AND准则OR准则和单传感器的对比效果，以及ROC曲线图-multi sensor data fusion
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基于D-S证据推理的多传感器数据融合方法-Reasoning based on D-S multi-sensor data fusion method
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此程序是多传感器数据融合实例，非常好的例子，自己整理融合的-Multi sensor data fusion
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利用UKF融合算法在融合多传感器数据加上GPS实现多数据融合，最后进行姿态解算-UKF fusion algorithm in use multi-sensor data fusion plus GPS multi-data fusion, and finally the attitude solution
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基于多相结构的信道化接收机，虚拟力的无线传感网络覆盖，D-S证据理论数据融合。- Channelized receiver based on multi-phase structure, Virtual power wireless sensor network coverage, D-S evidence theory data fusion.
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