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Automatically Building Linking Relations between Lane-Level Map and Commercial Navigation Map Using Topological Networks Matching

Published online by Cambridge University Press:  20 May 2020

Lu Tao ,
Pan Zhang ,
Lixin Yan  and
Dunyao Zhu
Lu Tao*
Affiliation:
(Graduate School of Informatics, Nagoya University, Japan)
Pan Zhang
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, China) (Wuhan KOTEI Informatics Co., Ltd, China)
Lixin Yan
Affiliation:
(School of Transportation and Logistics, East China Jiaotong University, China)
Dunyao Zhu
Affiliation:
(Wuhan KOTEI Informatics Co., Ltd, China) (GNSS Research Centre, Wuhan University, China)
*
(E-mail: tao.lu@a.mbox.nagoya-u.ac.jp)
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Abstract

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.

Keywords

Lane-Level MapCommercial Navigation MapTopological Network MatchingLinking Relations
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 5 , September 2020 , pp. 1159 - 1178
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Copyright
Copyright © The Royal Institute of Navigation 2020

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