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本文探索的课题就是将并行免疫算法融合在TSP问题的求解中。
This thesis explores how to integrate Immune Algorithm into solution of TSP.
最后提出一种改进的贝叶斯算法融合多视觉信息来估计驾驶员的疲劳程度。
Finally, we propose an improved Bayesian algorithm to estimate driver's fatigue over integration of visual information.
当陀螺漂移误差减小到一定程度，再切换为EKF与最优REQUEST算法融合的双重滤波器。
When the estimated error of gyro drift reduces to some low extent, the filter was switched to the fusion mode of EKF and optimal REQUEST.
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