在摄影测量和目标识别计算机视觉的应用中，为了提高三维定位精度，有必要采用传感器规划策略，即预先在摄像机和照明参数进行规划，因为这样可以更有效地完成视觉任务，为了使人们对计算机视觉中传感器规划有一概略了解，首先分析了传感器和照明参数、特征检测约束、传感器和目标模型等影响传感器规划的各种因素；然后在总结传感器规划最近研究进展的基础上，根据传感器规划所使用方法等的不同，对传感器规划问题进行了分类，并将传感器规划问题归纳为组合优化的过程；最后指出传感器规划今后几个可能的研究方向。

In photogrammetry and object recognition, it's necessary to introduce the sensor planning strategies to improve the measurement accuracy. Sensor planning is a new research area in computer vision. Planning the parameters of camera and illumination purposefully can make task be performed effectively. In this paper some affecting factors which are essential to sensor planning are analyzed firstly. They are the parameters of camera and illumination, constrain of feature detectability, the models of sensor and object. After some specific sensor planning systems were summarized, the sensor planning systems are classified based on the methods they used, the goals, the number of sensors and a prior information. Then the problem of sensor planning is concluded to the optimization process which can be done in high dimensional space composed of the parameters of camera,lens, illumination and object models. Finally we show some possible developing directions , namely single camera system in active machine vision,multi camera network design solution, new optimization and combinatorial search method, rebuilding the uncertainty of characters and multi sensor data fusion.