| 基于2D地图的城市户外ARGIS视觉辅助地理配准技术 |
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| 引用本文： | 邓晨,游雄,张威巍,智梅霞.基于2D地图的城市户外ARGIS视觉辅助地理配准技术[J].测绘学报,2019,48(10):1305-1319. |
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| 作者姓名： | 邓晨 游雄 张威巍 智梅霞 |
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| 作者单位： | 信息工程大学地理空间信息学院,河南 郑州,450052;武汉大学测绘遥感信息工程国家重点实验室,湖北 武汉,430079 |
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| 摘 要： | 针对当前便携式位姿传感器获取的户外6DOF绝对位姿精度通常不足,致使基于位姿传感器的户外AR地理配准精度不高,提出了一种以2D地图作为参考数据进行户外视觉辅助定位进而提高ARGIS系统地理配准精度的方法和技术框架。在位姿传感器获取初始位姿的基础上,详细阐述了基于2D地图进行图像位姿优化和辅助校正的基本原理;并通过试验验证了该方法可以对位姿传感器获取的初始位姿进行优化,进而提高户外AR地理配准精度的有效性。
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| 关 键 词： | 户外增强现实 增强现实地理信息系统 地理配准 视觉辅助配准 混合配准 位姿传感器 配准精度评估 地理定位 |
| 收稿时间： | 2019-01-06 |
| 修稿时间： | 2019-05-28 |
A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps |
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| DENG Chen,YOU Xiong,ZHANG Weiwei,ZHI Meixia.A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps[J].Acta Geodaetica et Cartographica Sinica,2019,48(10):1305-1319. |
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| Authors: | DENG Chen YOU Xiong ZHANG Weiwei ZHI Meixia |
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| Institution: | 1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China;2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China |
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| Abstract: | The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is proposed with 2D maps to improve the outdoor ARGIS geo-registration accuracy. Based on the initial pose obtained by the pose sensor, the basic principles of image localization and pose optimization based on 2D maps are expounded in detail. The experimental results show that the proposed method can effectively optimize the initial pose obtained by the pose sensor, and thus improve the geo-registration accuracy of outdoor AR. |
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| Keywords: | outdoor augmented reality ARGIS geo-registration vision-aided registration hybrid registration position-posture sensor evaluation of registration accuracy geo-localization |
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