算法构造巧妙，由于使用了较少的卡尔曼滤波器，算法实时性好，鲁棒性更好。
The whole algorithm conformation is very skilled. Because the number of kalman filter is lesser, algorithm is real-time, and robust.
实验结果表明，该算法计算量小、鲁棒性强，完全满足视觉导航中的实时性、准确性要求。
The experiment results prove that our algorithm can meet the vision-based navigation's request for real-time and validity.
本文重点研究在嵌入式系统中实现兼具鲁棒性和实时性的多传感器信息融合算法。
This paper focuses on realization of robustness and real-time multi-sensor information fusion algorithm in the Embedded System.
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