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首页> 外文期刊>Robotics, IEEE Transactions on >Epsilon-Optimal Synthesis for Unicycle-Like Vehicles With Limited Field-of-View Sensors
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Epsilon-Optimal Synthesis for Unicycle-Like Vehicles With Limited Field-of-View Sensors

机译:具有有限视野传感器的类似单轮车的Epsilon最佳综合

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In this paper, we study the minimum length paths covered by the center of a unicycle equipped with a limited field-of-view (FOV) camera, which must keep a given landmark in sight. Previous works on this subject have provided the optimal synthesis for the cases in which the FOV is only limited in the horizontal directions (i.e., left and right bounds) or in the vertical directions (i.e., upper and lower bounds). In this paper, we show how to merge previous results and hence obtain, for a realistic image plane modeled as a rectangle, a finite alphabet of extremal arcs and the overall synthesis. As shown, this objective cannot be straightforwardly achieved from previous results but needs further analysis and developments. Moreover, there are initial configurations such that there exists no optimal path. Nonetheless, we are always able to provide an -optimal path whose length approximates arbitrarily well any other shorter path. As final results, we provide a partition of the motion plane in regions such that the optimal or -optimal path from each point in that region is univocally determined.
机译:在本文中,我们研究了配备有限视场(FOV)摄像头的单轮脚踏车中心覆盖的最小长度路径,该摄像头必须使给定的路标可见。对于仅在水平方向(即左右边界)或垂直方向(即上下边界)限制FOV的情况,先前针对该主题的著作提供了最佳的综合方法。在本文中,我们展示了如何合并先前的结果,从而获得用于建模为矩形的逼真的图像平面,极角弧的有限字母以及整体合成的方法。如图所示,这个目标不能从以前的结果中直接实现,而是需要进一步的分析和发展。而且,存在初始配置,使得不存在最佳路径。尽管如此,我们始终能够提供-最佳路径,其长度可以近似地与其他任何较短的路径近似。作为最终结果,我们在区域中提供了运动平面的分区,从而可以明确确定该区域中每个点的最佳路径或最佳路径。

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