Enhancing outdoor long-distance matching in mobile AR: A continuous and real-time geo-registration approach
文献类型：期刊论文
| 作者 | Huang, Kejia10,11,12; Liu, Di9; Zlatanova, Sisi8; Lu, Yue7; Wang, Yiwen6; Chen, Taisheng5; Sun, Yue4; Wang, Chenliang3; Bonilla, Daniel2; Shi, Wenjiao1 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2025-03-01 |
| 卷号 | 137页码:104422 |
| 关键词 | Mobile Augmented Reality (MAR) Geo-registration Sensor fusion Geodesic equations Rotation invariance estimation |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2025.104422 |
| 产权排序 | 12 |
| 文献子类 | Article |
| 英文摘要 | Geo-registration is a fundamental process seamlessly integrating digital information within the physical world in Mobile Augmented Reality (MAR). Achieving high precision, real-time capability, and strong adaptability in georegistration is crucial for the effective functioning of MAR applications, especially in outdoor environments. However, existing methods frequently struggle with inaccuracies in long-distance positioning and latency of pose estimation, compounded by their sensitivity to scale changes of outdoor environment. This study addresses these challenges by proposing a novel continuous and real-time MAR geo-registration method for outdoor applications. Our approach integrates real-time kinematic Global Navigation Satellite System (RTK-GNSS) fusion with geodesic equations and rotation invariance estimation. This method substantially surpasses traditional methods, achieving 0.05 m virtual-real position accuracy (approximately six times better) and under 0.2 degrees pose accuracy (nearly a fivefold improvement). Additionally, it exhibits superior robustness in complex MAR scenarios. Beyond improved accuracy, this method reduces the reliance on high-quality sensor hardware and precise calibration, making it suitable for various AR systems, including smartphones and tablets. |
| URL标识 | 查看原文 |
| WOS关键词 | AUGMENTED REALITY ; NAVIGATION |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001428678900001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213307]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Chenliang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Oklahoma State Univ, Dept Geog, Stillwater, OK 74078 USA; 3.Wenzhou Univ Technol, Sch Data Sci & Artificial Intelligence, Wenzhou 325000, Peoples R China; 4.SuperMap Software Co Ltd, Beijing 100015, Peoples R China; 5.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Jiangsu, Peoples R China; 6.Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China; 7.Capital Normal Univ, MOE, Key Lab SD Informat Acquisit & Applicat, Beijing 100048, Peoples R China; 8.Univ New South Wales, Sch Built Environm, Sydney, NSW 2052, Australia; 9.Sun Yat Sen Univ, Sch Aeronaut & Astronaut, Shenzhen Campus, Shenzhen 518107, Peoples R China; 10.State Key Lab Cultivat Base Geog Environm Evolut J, Nanjing 210023, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Huang, Kejia,Liu, Di,Zlatanova, Sisi,et al. Enhancing outdoor long-distance matching in mobile AR: A continuous and real-time geo-registration approach[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,137:104422. |
| APA | Huang, Kejia.,Liu, Di.,Zlatanova, Sisi.,Lu, Yue.,Wang, Yiwen.,...&Shi, Wenjiao.(2025).Enhancing outdoor long-distance matching in mobile AR: A continuous and real-time geo-registration approach.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,137,104422. |
| MLA | Huang, Kejia,et al."Enhancing outdoor long-distance matching in mobile AR: A continuous and real-time geo-registration approach".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 137(2025):104422. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。