实验结果表明，基于遗传算法的求解方案能快速地求出传感器节点位置优化问题的全局最优解，并满足目标定位的精度要求。
Experiment results show that the global optimal solution can be quickly obtained by the proposed method and the precision requirement for target location is satisfied.
当末端执行器的位置变化时，不需要对系统进行重新标定。
When the position of end executor has been changed, it can still implement orientation without the need of re calibration.
根据线结构光传感器的特点，提出了一种线结构光传感器的快速标定方法，利用摄像机投影中心及光条在摄像机像面上的信息，仅需一共面靶标即可实现摄像机与光平面之间位置参数的标定。
With the coplanar reference target, the spacial pose between camera and optical plane can be calibrated by using the cameras projective center and the lights information in the cameras image surface.
对于二进制传感器网络目标定位跟踪问题时，最常用的直线拟和算法是基于传感器位置的统计信息进行计算，需要目标通过的一定数量传感器才能给出较精确的解。
The paper presents the importance and necessity of underwater target tracking and a survey of the kinds of underwater target tracking, based on the requirement of underwater precise guidance.
对于二进制传感器网络目标定位跟踪问题时，最常用的直线拟和算法是基于传感器位置的统计信息进行计算，需要目标通过的一定数量传感器才能给出较精确的解。
The paper presents the importance and necessity of underwater target tracking and a survey of the kinds of underwater target tracking, based on the requirement of underwater precise guidance.
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