汽车的数控人工视觉系统，被人们叫做GOLD(一般障碍与车道检测器)对传感器的数据进行分析，进而自动调节汽车的速度和方向。

The vehicles' computerized artificial vision system, known as GOLD (Generic Obstacle and Lane Detector), analyzed the data from the sensors and automatically adjusted their speed and direction.

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由于承载鞍形貌复杂、被测面较多且集中分布，采用一般的标定方式标定十分困难，所以专门研究了用于承载鞍视觉检测的传感器系统标定方法。

The thesis also introduces a special calibration method for vision sensor system in respect that we find the usual calibration ways can not be used in this system.

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