Indoor Mapping Structure Based on Cloud Platform for Seamless and Effective Indoor Localization

Proceedings of the Satellite Division's International Technical Meeting Pub Date : 2023-10-05 DOI:10.33012/2023.19331

Taehun Kim, Beomju Shin, Chung G. Kang, Donghyun Shin, Changsoo Yu, Hankyeol Kyung, Taikjin Lee

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Abstract

Unlike outdoor spaces, indoor spaces are not naturally interconnected. To provide efficient indoor location-based services, we structured indoor spaces into Sector, Building, Level, and Spot, and connected them through a relational database on the Cloud Platform. The relational database enables the seamless interconnection, easy management and modification of each space. Additionally, engine systems for indoor localization are established on the Cloud Platform to provide accurate spatial and positioning information. These engines are designed to be independent, allowing efficient resource utilization based on users' service demands. We conducted successful and seamless test at COEX, one of the largest underground parking lots in Seoul, South Korea, demonstrating a location error of 4.795m and a floor estimation accuracy of 97.926% for seamless floor transitions. The approach presented in this paper enables efficient management of indoor spaces and provides seamless location services tailored to users' needs.

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基于云平台的室内地图结构无缝有效的室内定位

与室外空间不同，室内空间并不是自然地相互联系的。为了提供高效的室内定位服务，我们将室内空间划分为Sector、Building、Level和Spot，并通过云平台上的关系数据库将它们连接起来。关系型数据库实现了各个空间的无缝对接，便于管理和修改。在云平台上建立室内定位引擎系统，提供准确的空间定位信息。这些引擎的设计是独立的，可以根据用户的服务需求有效地利用资源。我们在韩国首尔最大的地下停车场之一COEX进行了成功的无缝测试，结果表明，无缝地板过渡的定位误差为4.795米，地板估计精度为97.926%。本文提出的方法能够有效地管理室内空间，并提供根据用户需求量身定制的无缝定位服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Satellite Division's International Technical Meeting

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