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3-D Map Reconstruction of Robot Based on Stereo Vision in Unknown Outdoor Environment

机译:基于立体声视觉在未知室外环境中的机器人三维地图重建

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Binocular stereo vision measurement system is proposed to achieve three-dimensional reconstruction on the scene around of the robot. Two key technologies of the robot stereo vision measurement system are presented. One is to extract the suitable image features using grey correction and edge profile tracking. The other is to obtain the disparity image of measured object and to complete the image match. At first the corresponding relationship of the features above is established. And the two image map points in the two CCD image plane system of the same point in the world coordinate system are corresponding. Then the 3-D environment of robot is recovered. Two unknown indoor environment are used to experiment. The result shows that the three-dimensional profile measurement method is easy to implement, less demanding on hardware, high precision and high stability. It can be applied to the 3-D scene reconstruction on moon surface inspecting robot.
机译:建议双目立体视觉测量系统在机器人周围的场景中实现三维重建。提出了两种机器人立体视觉测量系统的关键技术。一个是使用灰度校正和边缘轮廓跟踪提取合适的图像特征。另一个是获得测量对象的视差图像并完成图像匹配。首先,建立了上面的特征的相应关系。和世界坐标系相同点的两个CCD图像平面系统中的两个图像映射点相应。然后恢复机器人的3d环境。两个未知的室内环境用于实验。结果表明,三维轮廓测量方法易于实现,对硬件苛刻,高精度和高稳定性。它可以应用于Moon Surface检查机器人的3D场景重建。

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