为了提高室内机器人的动态障碍物识别能力，提出了一种基于立体视觉的实时障碍物识别方法。
In order to improve the capability of dynamic obstacle recognition for indoor mobile robot, a method uf dynamic obstacle recognition based on three-dimensional vision is presented.
为了能实时地采集到公交系统中的客流量，提出了一种基于双目立体视觉的客流计数方法。
A passenger counting method is proposed in this paper based on binocular stereovision for collecting the real-time passenger data in public transport.
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