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Journal of Geo-information Science, Volume. 22, Issue 4, 760(2020)

Pan-information-based High Precision Navigation Map: Concept and Theoretical Model

Zhuoyuan YU1...1,2,2, Guonian LV3,3,4,4,5,5, Xining ZHANG1,1,2,2, Yuanxin JIA1,1,2,2, Chenghu ZHOU1,1,2,2, Yong GE1,1,2,2,*, and Kejing LV1,1,22 |Show fewer author(s)
Author Affiliations
  • 1State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 1中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 2中国科学院大学,北京 100049
  • 3Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
  • 3南京师范大学 虚拟地理环境教育部重点实验室,南京 210023
  • 4Jiangsu Provincial Key Laboratory of Geographical Environment Evolution, Nanjing 210023, China
  • 4江苏省地理环境演化国家重点实验室培育建设点,南京 210023
  • 5Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • 5江苏省地理信息资源开发与利用协同创新中心,南京 210023
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    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
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    Figures & Tables(12)
    The relationship among three kinds of maps

    Fig. 1. The relationship among three kinds of maps

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    Structure of pan-information-based high precision navigation map

    Fig. 2. Structure of pan-information-based high precision navigation map

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    Flow chart of static information collection and extrac-tion of pan-information-based high precision navigation map

    Fig. 3. Flow chart of static information collection and extrac-tion of pan-information-based high precision navigation map

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    Example of road point cloud data collected by UAV

    Fig. 4. Example of road point cloud data collected by UAV

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    Lane line point cloud data extraction result

    Fig. 5. Lane line point cloud data extraction result

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    Point cloud cube grid structure

    Fig. 6. Point cloud cube grid structure

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    Lane line point cloud grid data processing result

    Fig. 7. Lane line point cloud grid data processing result

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    Lane line connection processing result

    Fig. 8. Lane line connection processing result

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    Flow chart of dynamic information collection and ext-raction of pan-information-based high precision navigation map

    Fig. 9. Flow chart of dynamic information collection and ext-raction of pan-information-based high precision navigation map

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    Pedestrian target recognition results

    Fig. 10. Pedestrian target recognition results

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    Real-time traffic scene reconstruction based on sound data

    Fig. 11. Real-time traffic scene reconstruction based on sound data

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    Schematic diagram of electromagnetic data spatialization results

    Fig. 12. Schematic diagram of electromagnetic data spatialization results

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    Zhuoyuan YU, Guonian LV, Xining ZHANG, Yuanxin JIA, Chenghu ZHOU, Yong GE, Kejing LV. Pan-information-based High Precision Navigation Map: Concept and Theoretical Model[J]. Journal of Geo-information Science, 2020, 22(4): 760

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    Paper Information

    Received: Nov. 4, 2019

    Accepted: --

    Published Online: Nov. 12, 2020

    The Author Email: Yong GE (gey@lreis.ac.cn)

    DOI:10.12082/dqxxkx.2020.190648

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