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How to build a map of the probability of one of the absence and presence of obstacles in an autonomous robot

机译:如何在自主机器人中建立障碍物存在与否之一的概率图

摘要

The present invention relates to a method for calculating a pixel map of the probability of one of the absence and presence of an obstacle in an autonomous robot environment. The autonomous robot includes at least one sensor grouped in at least one set of sensors that detect similar types of obstacles and has its own sensor initial map of the probability of the absence of obstacles. The method initializes a map around the robot and attached to the robot with a predetermined value of the probability of the absence or presence of obstacles, and at least data representing the absence or presence of obstacles around the robot The process of obtaining from one sensing procedure, the process of simultaneously updating the probability value by using data from the sensing procedure, and correcting the probability of the absence or presence of an obstacle from the previous observation to a value close to a predetermined value Including the step of.
机译:本发明涉及一种用于计算自主机器人环境中不存在和存在障碍物的概率的像素图的方法。自主机器人包括被分组在至少一组传感器中的至少一个传感器,所述至少一组传感器检测相似类型的障碍物并且具有其自身的不存在障碍物的概率的传感器初始图。该方法初始化机器人周围的地图并以预定的不存在或存在障碍物的概率的值附加到机器人,并至少表示代表机器人周围是否存在障碍物的数据。从一个传感过程获得的过程包括以下步骤:通过使用来自感测过程的数据来同时更新概率值,以及将先前观察到的不存在障碍物或存在障碍物的概率校正为接近预定值的过程(包括步骤)。

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