The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
The thesis improves the filter algorithm based on distance and raises the message filter algorithm by grade based on vision calculation combining visual principle.
本文对基于距离的过滤机制进行了改进，结合视觉原理提出了基于视觉计算的分级消息过滤机制。
The experimental results indicate that the proposed method has better perform of vision and segmentation than average filter.
后续分割实验结果表明，该方法比均值滤波后的图像有更好的视觉和分割效果。
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