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An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation

机译:预先确定的行人导航名片路线的行人定位的无形显着地标方法

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摘要

Visual landmarks are important navigational aids for research into and design of applications for last mile pedestrian navigation, e.g., business card route of pedestrian navigation. The business card route is a route between a fixed origin (e.g., campus entrance) to a fixed destination (e.g., office). The changing characteristics and combinations of various sensors’ data in smartphones or navigation devices can be viewed as invisible salient landmarks for business card route of pedestrian navigation. However, the advantages of these invisible landmarks have not been fully utilized, despite the prevalence of GPS and digital maps. This paper presents an improvement to the Dempster–Shafer theory of evidence to find invisible landmarks along predesigned pedestrian routes, which can guide pedestrians by locating them without using digital maps. This approach is suitable for use as a “business card” route for newcomers to find their last mile destinations smoothly by following precollected sensor data along a target route. Experiments in real pedestrian navigation environments show that our proposed approach can sense the location of pedestrians automatically, both indoors and outdoors, and has smaller positioning errors than purely GPS and Wi-Fi positioning approaches in the study area. Consequently, the proposed methodology is appropriate to guide pedestrians to unfamiliar destinations, such as a room in a building or an exit from a park, with little dependency on geographical information.
机译:视觉地标是研究和设计最后一英里行人导航应用程序(例如行人导航的名片路线)的重要导航工具。名片路线是从固定起点(例如校园入口)到固定目的地(例如办公室)之间的路线。智能手机或导航设备中各种传感器数据的不断变化的特征和组合可以看作是行人导航名片路线的不可见显着地标。但是,尽管普遍存在GPS和数字地图,但这些隐形地标的优势尚未得到充分利用。本文对Dempster-Shafer证据理论进行了改进,可以沿着预先设计的行人路线找到不可见的地标,从而无需使用数字地图就可以通过定位行人来引导行人。这种方法适合用作“名片”路线,使新移民可以通过遵循目标路线上预先收集的传感器数据来顺利地找到他们的最后一英里目的地。在真实的行人导航环境中进行的实验表明,我们提出的方法可以在室内和室外自动感应行人的位置,并且比研究区域中的单纯GPS和Wi-Fi定位方法具有较小的定位误差。因此,所提出的方法学适合于引导行人到陌生的目的地,例如建筑物中的房间或公园的出口,而对地理信息的依赖性很小。

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