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机译:多对象贝叶斯滤波器的多传感器控制
School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu, China;
School of Engineering, RMIT University, PO Box 71 Bundoora, VIC 3083, Australia;
School of Engineering, RMIT University, PO Box 71 Bundoora, VIC 3083, Australia;
School of Engineering, RMIT University, PO Box 71 Bundoora, VIC 3083, Australia;
School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu, China;
School of Engineering, RMIT University, PO Box 71 Bundoora, VIC 3083, Australia;
Coordinate descent; Labeled multi-Bernoulli filter; Multi-target tracking; Partially observed Markov decision process; Random finite sets;
机译:使用多传感器控制的标记多Bernoulli滤波器跟踪利益目标
机译:加权相关滤波指导,时空关注在线多目标跟踪
机译:加权相关滤波指导,时空关注在线多目标跟踪
机译:在多对象贝叶斯滤波器中对扩展对象运动进行建模的方法
机译:扩展卡尔曼滤波器(EKF)和模糊决策在多传感器数据融合系统中的应用分析。
机译:同时学习和过滤而不会产生错觉:预测推理和自适应过滤的贝叶斯最佳组合
机译:多传感器贝叶斯滤波器的多传感器控制
机译:经验Bayes决策程序在离散时间线性滤波中的应用。用于弹道估计最终报告的经验贝叶斯滤波器研究