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Proposal for the generation of network data for pedestrians in South Korea using large-scale maps

机译:关于使用大型地图为韩国行人生成网络数据的提案

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As a pedestrian navigation system becomes popular recently, there have been demands on generating network data for pedestrians with a high Level of Detail (LOD) efficiently. To meet on demands, we proposed a new approach to delineate network data for pedestrians with a high LOD for commercial routing services. We set out to clearly redefine walking areas where pedestrians can move freely based on previous research. Next, we present a method to extract walking areas after analysing relationships between walking areas and objects of large-scale maps. Network data for pedestrians are then generated by vectorizing the extracted walking areas with considering visibility of pedestrians and pedestrian movement characteristics and finally merging them. In the evaluation, we can identify that extracted walking areas reflect the real world and network data that are generated by the proposed method have a high LOD, which is available in commercial routing services for a pedestrian.
机译:随着行人导航系统近来变得流行,需要高效地为具有高细节水平(LOD)的行人生成网络数据。为了满足需求,我们提出了一种新方法来为具有较高LOD的行人描绘商业路由服务的网络数据。根据先前的研究,我们开始明确定义步行者可以自由活动的步行区域。接下来,我们提出一种在分析步行区域和大型地图对象之间的关系之后提取步行区域的方法。然后,通过对提取的步行区域进行矢量处理,并考虑到行人的可见性和行人运动特征,并最终将它们合并,从而生成行人的网络数据。在评估中,我们可以识别出提取的步行区域反映了真实世界,并且所提出的方法生成的网络数据具有较高的LOD,可在行人的商业路线服务中使用。

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