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Multiple mobile robots real-time visual search algorithm

机译:多个移动机器人实时视觉搜索算法

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摘要

A multiple mobile robots visual real-time locating system is introduced, in which the global search algorithm and track search algorithm are combined together to identify the real-time position and orientation(pose) of multiple mobile robots. The switching strategy between the two algorithms is given to ensure the accuracy and improve retrieval speed. The grid search approach is used to identify target while searching globally. By checking the location in the previous frame, the maximum speed and the frame time interval, thus the track search can determine the area target robot may appear in the next frame. Then, a new search will be performed in the certain area. The global search is used if target robot is not found in the previous search otherwise track search will be used. With the experiment on the static and dynamic recognition of three robots, the search method here is proved to be high precise, fast, stable and easy to extend, all the design requirements can be well met.
机译:介绍了一种多移动机器人视觉实时定位系统,该系统将全局搜索算法和轨迹搜索算法结合在一起,以识别多个移动机器人的实时位置和方向。给出了两种算法之间的切换策略,以确保准确性和提高检索速度。网格搜索方法用于在全局搜索时识别目标。通过检查前一帧中的位置,最大速度和帧时间间隔,因此轨迹搜索可以确定目标机器人可能在下一帧中出现的区域。然后,将在特定区域中执行新搜索。如果在先前的搜索中未找到目标机器人,则使用全局搜索,否则将使用轨道搜索。通过对三个机器人的静态和动态识别的实验,证明了该搜索方法具有高精度,快速,稳定,易于扩展的特点,可以很好地满足所有设计要求。

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