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Omnidirectional Vision and Inertial Clues for Robot Navigation

机译:用于机器人导航的全向视觉和惯性线索

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摘要

The structural features inherent in the visual motion field of a mobile robot contain useful clues about its navigation. The combination of these visual clues and additional inertial sensor information may allow reliable detection of the navigation direction for a mobile robot and also the independent motion that might be present in the 3D scene. The motion field, which is the 2D projection of the 3D scene variations induced by the camera-robot system, is estimated through optical flow calculations. The singular points of the global optical flow field of omnidirectional image sequences indicate the translational direction of the robot as well as the deviation from its planned path. It is also possible to detect motion patterns of near obstacles or independently moving objects of the scene. In this paper, we introduce the analysis of the intrinsic features of the omnidirectional motion fields, in combination with gyroscopical information, and give some examples of this preliminary analysis.
机译:移动机器人视觉运动场中固有的结构特征包含有关其导航的有用线索。这些视觉线索和其他惯性传感器信息的组合可以允许对移动机器人的导航方向以及3D场景中可能存在的独立运动进行可靠检测。运动场是相机-机器人系统引起的3D场景变化的2D投影,可通过光流计算来估算。全向图像序列的全局光流场的奇异点指示机器人的平移方向以及与计划路径的偏差。还可以检测场景附近障碍物或独立移动物体的运动模式。在本文中,我们结合陀螺信息介绍了对全向运动场的固有特征的分析,并给出了一些初步分析的例子。

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