• Journal of Geo-information Science
  • Vol. 22, Issue 6, 1383 (2020)
Yongpan BIE, Qingfeng GUAN*, and Yao YAO
Author Affiliations
  • School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430078, China
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    DOI: 10.12082/dqxxkx.2020.190472 Cite this Article
    Yongpan BIE, Qingfeng GUAN, Yao YAO. A Framework for AR Spatial Analysis based on Edge-Cloud Integration[J]. Journal of Geo-information Science, 2020, 22(6): 1383 Copy Citation Text show less
    Framework for AR spatial analysis based on edge-cloud integration
    Fig. 1. Framework for AR spatial analysis based on edge-cloud integration
    Logical connection of cooperative computing between AR and the cloud server
    Fig. 2. Logical connection of cooperative computing between AR and the cloud server
    Head-Wear AR device - Microsoft Hololens
    Fig. 3. Head-Wear AR device - Microsoft Hololens
    Dataset for the experimental building of AR spatial analysis framework based on edge-cloud integration
    Fig. 4. Dataset for the experimental building of AR spatial analysis framework based on edge-cloud integration
    Flowchart of AR spatial analysis framework based on edge-cloud integration
    Fig. 5. Flowchart of AR spatial analysis framework based on edge-cloud integration
    Three-D modeling based on the CGA rule
    Fig. 6. Three-D modeling based on the CGA rule
    Partition of sky by occlusion angle algorithms
    Fig. 7. Partition of sky by occlusion angle algorithms
    Remote sensing images and 3D models generated by CityEngine
    Fig. 8. Remote sensing images and 3D models generated by CityEngine
    Interface of AR digital city
    Fig. 9. Interface of AR digital city
    Performance of Hololens while running the APP
    Fig. 10. Performance of Hololens while running the APP
    AR端数据云端数据
    坐标系AR本地坐标地理坐标
    属性信息
    空间信息方向关系方向关系、距离关系、拓扑关系
    Table 1. Differences between AR data and cloud data
    类型详细信息
    硬件环境处理器:Intel Xeon E5-1630 v4内存:64 GB储存容量:3 TB显卡:Nvidia GeForce GTX 1080 Ti显存:GDDR4 11GB
    软件环境操作系统:Windows 10 专业版 64位City Engine 2016.0Visual Studio 2017 CommunityUnity 2017.2.1f1 (64-bit)、MixedRealityToolkit
    Table 2. Development environment of AR for experiments
    类型详细信息
    硬件环境处理器:Intel Xeon E5-1630 v4内存:64 GB储存容量:3 TB
    软件环境操作系统:Windows 10 专业版 64位Python 3.6、Flask 0.12.2MySQL 5.7、Redis 3.0Qt 5.10
    Table 3. Development environment of cloud for experiments
    R2MSEMAE
    SVF计算结果0.9980.000020.00293
    Table 4. Accuracy of SVF calculation based on the edge-cloud integration framework
    Yongpan BIE, Qingfeng GUAN, Yao YAO. A Framework for AR Spatial Analysis based on Edge-Cloud Integration[J]. Journal of Geo-information Science, 2020, 22(6): 1383
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