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Indirect Kalman Filter in Mobile Robot Application | Science Publications

机译:间接卡尔曼滤波器在移动机器人中的应用科学出版物

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> Problem statement: The most successful applications of Kalman filtering are to linearize about some nominal trajectory in state space that does not depend on the measurement data. The resulting filter is usually referred to as simply a linearized Kalman filter. Approach: This study introduced mainly indirect Kalman filter to estimate robot
机译: > 问题陈述:卡尔曼滤波最成功的应用是线性化状态空间中某些不依赖测量数据的名义轨迹。所得的滤波器通常简称为线性卡尔曼滤波器。 方法:本研究主要介绍间接卡尔曼滤波器来估计机器人

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