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首页> 外文期刊>The Journal of Navigation >Automatically Building Linking Relations between Lane-Level Map and Commercial Navigation Map Using Topological Networks Matching
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Automatically Building Linking Relations between Lane-Level Map and Commercial Navigation Map Using Topological Networks Matching

机译：使用拓扑网络匹配自动构建路线级地图和商业导航地图之间的联系关系

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摘要

The lane-level map, which contains the lane-level information severely lacking in widely used commercial navigation maps, has become an essential data source for autonomous driving systems. The linking relations between lane-level map and commercial navigation map can facilitate an autonomous driving system mapping information between different applications using different maps. In this paper, an approach is proposed to build the linking relations automatically. The different topology networks are first reconstructed into similar structures. Then, to build the linking relations automatically, the adaptive multi-filter algorithm and forward path exploring algorithm are proposed to detect corresponding junctions and paths, respectively. The approach is validated by two real data sets of more than 150 km of roads, mainly highway. The linking relations for nearly 94% of the total road length have been built successfully.
机译：车道级地图包含在广泛使用的商业导航地图中严重缺乏的车道级信息，已成为自治驾驶系统的基本数据源。通道级地图和商业导航地图之间的连接关系可以促进使用不同地图的不同应用程序之间的自主驱动系统映射信息。在本文中，提出了一种自动构建连接关系的方法。首先将不同的拓扑网络重建为类似的结构。然后，为了自动构建链接关系，提出了自适应多滤波算法和前进路径探索算法，分别检测相应的结和路径。该方法由两个超过150公里的道路，主要是公路的两个真实数据集。连锁关系的近94％的总路长度已经成功建立。

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