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Edge-Node Map Based Localization without External Sensor Data ?

机译:基于边缘的基于地图无需外部传感器数据

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In this paper, we propose a novel localization method which utilize a edge-node map and information from only inner sensors. To reduce integration errors, we estimate the passed edge from measured moving distance and direction, and integrate the trajectory of the odometry with the estimated edge. We performed two kinds of experiments. First, we operated the robot in four kinds of environments. Second, the robot travel autonomously using this method. From these experiments, we confirmed that our localization system works properly in various kinds of environments and for autonomous driving.
机译:在本文中,我们提出了一种新颖的本地化方法,该方法利用边缘节点映射和仅来自内部传感器的信息。为了减少集成误差,我们从测量的移动距离和方向估计传递的边缘,并与估计的边缘集成了内径测量轨道的轨迹。我们进行了两种实验。首先,我们在四种环境中运营机器人。其次,机器人使用这种方法自主行进。从这些实验来看,我们确认我们的本地化系统正常工作在各种环境和自动驾驶中。

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