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Autonomous Mobile Robot Navigation and Localization Based on Floor Plan Map Information and Sensory Fusion approach

机译:基于平面图信息和感官融合方法的移动机器人自主导航定位

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The objective of this paper is to develop a Mobile Robot Navigation and Localization Based on Floor Plan Map Information and Sensory Fusion approach. We have developed map recognition algorithm for recognizing the floor plan and high level multi-sensor topological navigation system utilizing the information to perform navigation tasks. In our algorithm, robot can recognize the floor plan to get enough information automatically like human. First, it recognizes the floor plan map, generates the path to destination and extracts two kinds of landmarks location from floor plan map. One is room plate landmark and the other is passage corner landmark. Second, these landmarks can be detected by camera and ultrasonic sensor in experimental environment. Robot can then navigate to the destination by following these landmarks and generated path. The main contributions of this paper are: 1).floor plan can be reconstructed quickly. 2). It is easier to describe the destination for user.
机译:本文的目的是开发一种基于平面图地图信息和感觉融合方法的移动机器人导航和定位。我们已经开发了用于识别平面图的地图识别算法和利用该信息执行导航任务的高级多传感器拓扑导航系统。在我们的算法中,机器人可以识别平面图,从而像人类一样自动获取足够的信息。首先,它识别平面图,生成到达目的地的路径,并从平面图中提取两种地标位置。一个是房间板的地标,另一个是通道拐角的地标。其次,可以在实验环境中通过照相机和超声波传感器检测这些标志。然后,机器人可以通过遵循这些地标和生成的路径导航到目的地。本文的主要贡献是:1)。平面图可以快速重建。 2)。为用户描述目的地更容易。

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