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。
An approach based on disparity space to a binocular visual odometry system is presented.
提出了一种基于视差空间的双目视觉里程计算法。
Chapter IV introduces the application of visual odometry in wide baseline stereo matching.
第四章主要介绍了视觉里程计在宽基线立体匹配中的应用。
Visual odometry can get accurate motion information, so it can be used to rectify the stereo images in wide baseline stereo matching system.
视觉里程计可以求取出准确的运动参数，从而可以利用这些参数对宽基线立体匹配中的立体图像对进行有效的校正。
The effects of GPS signal errors on mobile robot positioning accuracy were studied and a fusion model by blending GPS and odometry data was presented.
分析了GPS信号的误差对移动机器人定位精度的影响，提出了GPS信号与测距法的融合模型。
Odometry Used for speed measurement and distance measurement.
里程计用于测速和测距。
Odometry Used for speed measurement and distance measurement.
里程计用于测速和测距。
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