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Estimating the Number of Lanes on Rapid Road Map Survey System Using GPS Trajectories as Collective Intelligence

机译:使用GPS轨迹作为集合智能估计快速道路地图测量系统上的车道数量

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Electronic maps on current car navigation system is updated after surveying works, generating and editing map data when a road is newly opened to traffic. Therefore, long time is needed to update the map is completed. Also, online map updating service is now available, however, only expressways and highways are reflected for the map updating since surveying works and editing maps by hand is needed. Therefore, we have proposed a car navigation system that copes with newly constructed roads by estimating locations and shapes of new roads using many trajectories of vehicles as corrective intelligence measured by GPS. In this paper, we describe how to estimate the number of lanes using only many GPS trajectories that contain positioning errors, and we will describe its evaluations.
机译:勘测工作完成后,将更新当前汽车导航系统上的电子地图,并在新开通道路时生成和编辑地图数据。因此,需要长时间来完成地图的更新。此外,现在还可以使用在线地图更新服务,但是,由于需要进行勘测工作和手动编辑地图,因此仅高速公路和高速公路会反映在地图更新中。因此,我们提出了一种汽车导航系统,该系统通过使用许多车辆的轨迹作为GPS校正智能来估算新道路的位置和形状,从而应对新建道路。在本文中,我们描述了如何仅使用许多包含定位误差的GPS轨迹来估算车道数量,并将描述其评估。

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