中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
SkyroadAR: An Augmented Reality System for UAVs Low-Altitude Public Air Route Visualization

文献类型:期刊论文

作者Tan, Junming1,2,3; Ye, Huping1,3,4; Xu, Chenchen1,3,4; He, Hongbo1,2,3; Liao, Xiaohan1,2,3,4
刊名DRONES
出版日期2023-09-01
卷号7期号:9页码:22
关键词augmented reality the UAVs' low-altitude public air route sandbox markerless registration and tracking GPU-based virtual-real occlusion handling SkyroadAR
DOI10.3390/drones7090587
通讯作者Liao, Xiaohan(liaoxh@igsnrr.ac.cn)
英文摘要Augmented Reality (AR) technology visualizes virtual objects in the real environment, offering users an immersive experience that enhances their spatial perception of virtual objects. This makes AR an important tool for visualization in engineering, education, and gaming. The Unmanned Aerial Vehicles' (UAVs') low-altitude public air route (Skyroad) is a forward-looking virtual transportation infrastructure flying over complex terrain, presenting challenges for user perception due to its invisibility. In order to achieve a 3D and intuitive visualization of Skyroad, this paper proposes an AR visualization framework based on a physical sandbox. The framework consists of four processes: reconstructing and 3D-printing a sandbox model, producing virtual scenes for UAVs Skyroad, implementing a markerless registration and tracking method, and displaying Skyroad scenes on the sandbox with GPU-based occlusion handling. With the support of the framework, a mobile application called SkyroadAR was developed. System performance tests and user questionnaires were conducted on SkyroadAR; the results showed that our approachs to tracking and occlusion provided an efficient and stable AR effect for Skyroad. This intuitive visualization is recognized by both professional and non-professional users.
WOS关键词TRACKING
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28050200]
WOS研究方向Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:001077116000001
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/198565]  
专题中国科学院地理科学与资源研究所
通讯作者Liao, Xiaohan
作者单位1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Civil Aviat Adm China, Key Lab Low Altitude Geog Informat & Air Route, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Res Ctr UAV Applicat & Regulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Tan, Junming,Ye, Huping,Xu, Chenchen,et al. SkyroadAR: An Augmented Reality System for UAVs Low-Altitude Public Air Route Visualization[J]. DRONES,2023,7(9):22.
APA Tan, Junming,Ye, Huping,Xu, Chenchen,He, Hongbo,&Liao, Xiaohan.(2023).SkyroadAR: An Augmented Reality System for UAVs Low-Altitude Public Air Route Visualization.DRONES,7(9),22.
MLA Tan, Junming,et al."SkyroadAR: An Augmented Reality System for UAVs Low-Altitude Public Air Route Visualization".DRONES 7.9(2023):22.

入库方式: OAI收割

来源:地理科学与资源研究所

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