信息工程大学—邓晨博士 | JGGS佳文推荐

🔷Title l 题目

A Vision-aided Localization and Geo-registration Method for Urban ARGIS Based on 2D Maps

🔷Citation l 引文格式

Chen DENG,Xiong YOU,Weiwei ZHANG,Meixia ZHI,Diao LIN,Wang XU. A Vision-aided Localization and Geo-registration Method for Urban ARGIS Based on 2D Maps[J]. Journal of Geodesy and Geoinformation Science, 2022, 5(3): 93-110.

🔷Abstract l 摘要

Augmented Reality Geographic Information System (ARGIS) applications can only provide users accurate content services with a highly precise geo-registration. However, the absolute 6DOF (Degree of Freedom) pose provided by the portable sensors is usually inaccurate in urban outdoors, resulting in poorly geo-registration accuracy for ARGIS applications. Aiming at this issue, an automatic vision-aided localization method based on the 2D map is proposed to improve the initial localization accuracy of the portable sensors, and an overall geo-registration optimization framework for outdoor ARGIS is proposed. Based on the initial pose provided by the sensors, the basic principles of the vision-aided localization method are expounded in detail. The experimental results show that the proposed method can effectively correct the initial pose obtained by the pose sensors, and improve the geo-registration accuracy of outdoor ARGIS applications ultimately.

🔷Key Words l 关键词

augmented reality; ARGIS; geo-registration; vision-aided localization; hybrid localization; portable sensors

🔷Authors l 作者

Chen DENG,Xiong YOU,Weiwei ZHANG,Meixia ZHI,Diao LIN,Wang XU.

🔷全文摘录如下

本文选自JGGS 2022, Volume 5, Issue 3, P93-110。Map Approval Number（审图号）：GS京（2022）0872。点击阅读原文即可下载。

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初审：段鹏丽复审：宋启凡
终审：金   君

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