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A Comprehensive Comparison of Sigma-Point Kalman Filters Applied on a Complex Maneuvering Road

机译:Sigma-Point卡尔曼滤波器在复杂机动道路上的综合比较

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In this paper, a comprehensive comparison is made of the following sigma-point Kalman filters: unscented Kalman filter (UKF), cubature Kalman filter (CKF), and the central difference Kalman filter (CDKF). A simulation based on a complex maneuvering road (an s-path) is used as a benchmark problem. This paper studies the response, stability, robustness, convergence, and computational complexity of the filters. Future work will look at implementing the methods on a robot built for experimentation.
机译:本文对以下西格玛点卡尔曼滤波器进行了全面比较:无味卡尔曼滤波器(UKF),库曼卡尔曼滤波器(CKF)和中心差分卡尔曼滤波器(CDKF)。基于复杂机动道路(s路径)的模拟被用作基准问题。本文研究了滤波器的响应,稳定性,鲁棒性,收敛性和计算复杂性。未来的工作将着眼于在用于实验的机器人上实现这些方法。

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