It is significant to research on mobile robot vision system and the related technology, such as camera calibration, multi-sensor fusion, robot navigation and control theory.
研究移动机器人视觉系统及其摄像机标定、多传感器信息融合、导航控制理论与方法具有非常重要的意义。
For the problem of passive location under low detection probability, a multi-sensor fusion tracking algorithm based on sliding window batch technique is presented.
针对低检测概率下的无源定位问题，提出一种基于滑窗批处理的多传感器融合跟踪算法。
To point to coupling disturbance made by the dual-axis tilt, it makes a study of compensation methods based on bilinear interpolation of query table and multi-sensor fusion.
针对双轴倾角传感器测量角度时引起的耦合干扰，采用了通过查询表的双线性插值和多传感器融合相结合的补偿方法。
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