为了提高传感器仿真中虚拟摄像机的仿真真实度，该文在标定算法线形模型的基础上，提出一种基于标定技术的虚拟摄像机仿真方法。
To increase the reality of a virtual camera in sensor simulation, this paper proposes a camera simulation method based on a linear calibration model.
一项计算机仿真视觉系统简称GOLD，分析来自传感器的信息并自动调整汽车的速度和方向。
A computerized artificial vision system dubbed GOLD, for Generic Obstacle and Lane Detector, analyzed the information from the sensors and automatically adjusted the vehicles' speed and direction.
将该方法用于一个目标识别任务的仿真实验，结果表明应用该方法能确定地识别出目标，是一种有效可行的多传感器数据融合方法。
By applying the method to the target identification, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensor data fusion method.
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