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Research on obstacle avoidance for mobile robot based on binocular stereo vision and infrared ranging

机译:基于双目立体视觉和红外测距的移动机器人避障研究

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In this paper, a mobile robot obstacle avoidance system based on information fusion of infrared sensor and binocular vision sensors is proposed. The complete distance information between the robot and obstacles, which is obtained from the infrared sensors and the binocular sensor can real-time help the robot perceiving its location relative to all kinds of obstacles under the unknown environment. Furthermore, a reasonable obstacles-avoiding strategy based on the location information is used to govern the DC servo motors of the left and right driving wheels and realize real-time avoiding obstacles. At last, it is demonstrated by the experiments that the proposed method is effective.
机译:本文提出了一种基于红外传感器与双目视觉传感器信息融合的移动机器人避障系统。从红外传感器和双目传感器获得的机器人与障碍物之间的完整距离信息可以实时帮助机器人感知其在未知环境中相对于各种障碍物的位置。此外,基于位置信息的合理避障策略被用于控制左右驱动轮的直流伺服电机,并实现实时避障。最后通过实验证明了该方法的有效性。

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