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A method for mobile robot obstacle avoidance based on stereo vision

机译:基于立体视觉的移动机器人避障方法

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An obstacle avoidance method is researched based on stereo vision by using Pioneer3-AT wheeled mobile robots as research platform. Locating obstacles is realized quickly by means of image segmentation and stereo vision algorithm which can separate obstacles from the background and stereo match their contour features with the stereo vision calibration results to get the spatial point for 3D reconstruction. The obstacle avoidance method uses stereo vision and sonar sensors working cooperatively to get the information of the obstacles in the vicinity of the robot. Fuzzy logic control algorithm is adopted to avoid collision and bypass the enroute obstacles. In the development environment of Visual C++ and OpenCV, the validity and effectiveness of the method has been demonstrated in achieving the task of evading obstacles. The method is simple and quick which is significant for the further navigation.
机译:以Pioneer3-AT轮式移动机器人为研究平台,研究了一种基于立体视觉的避障方法。通过图像分割和立体视觉算法可以快速实现障碍物的定位,该算法可以将障碍物从背景中分离出来,并通过立体视觉校准结果将它们的轮廓特征与立体进行匹配,从而获得3D重建的空间点。避障方法使用立体视觉和声纳传感器协同工作来获取机器人附近障碍物的信息。采用模糊逻辑控制算法避免碰撞并绕过行进障碍。在Visual C ++和OpenCV的开发环境中,该方法的有效性和有效性已被证明可以实现避开障碍的任务。该方法简单,快速,对于进一步导航非常重要。

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