Indoor localization method of intelligent mobile terminal based on BIM

Gong, Xiaodong; Hou, Jiwei; Li, Siyu; Liu, Jianhua; Du, Mingyuan

doi:10.1109/upinlbs.2018.8559731

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…The BIM will be stored in a database for use in the L5IN project; therefore, it should be considered that BIMs, in their function as a single source of information, have several features that are not required for indoor positioning and navigation. Like other projects, the model will be decomposed into geometrical, semantic, and topological dimensions, whereby the range of features will be reduced accordingly before they can be mapped in a suitable database framework [13,[19][20][21][22].…”

Section: Building Information Modelmentioning

confidence: 99%

L5IN: Overview of an Indoor Navigation Pilot Project

et al. 2021

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While outdoor navigation systems are already represented everywhere, the enclosed space is much less developed. The project Level 5 Indoor Navigation (L5IN) presents a new approach with mobile phone standard 5G as the orientation signal and without additional infrastructure for navigation in indoor environments. The aim of this project is to use the new available 5G technology to show how navigation systems, which have thus far only been available in the outdoor segment, can now be integrated into existing smartphone systems for indoor navigation. This paper gives an overview of the project and presents the different work packages leading to a holistic approach towards the development of an indoor navigation application for pedestrians. By using a specific app with open interfaces, it is planned to make navigation possible in all buildings modeled according to certain standards. The challenge involved is that, unlike outdoor maps, there is no map basis for buildings. For this reason, different approaches to map generation were examined. In a building information model (BIM), all information will be collected and made available via a database for positioning and visualization. The focus is furthermore on positioning, achieved through smartphone sensors and 5G, so that users can orientate themselves in buildings without having to connect to singular systems. It shall be shown that positioning with a standard deviation of 2–3 m and a confidence interval of 68 % is possible. Another advantage of 5G, the ability to send real-time data in higher data packages, will be used for data transmission. The basic idea of 5G-based indoor navigation will be enabled with radio cells of the providers, which will be set up on the HafenCity University campus. The complex university building will be used as a prototype environment.

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Section: Building Information Modelmentioning

confidence: 99%

L5IN: Overview of an Indoor Navigation Pilot Project

et al. 2021

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Seamless Indoor/Outdoor Coverage in5G

et al. 2020

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Densely deployment of the small cells in 5G networks will bring high‐quality service to the end users as well as will solve the small footprint coverage problem of millimeter‐waves. The increase in the number of small cells will require self‐organized systems to enable the seamless transaction between heterogeneous network environment. Therefore, a survey‐style study on self‐organized seamless coverage in 5G, covering millimeter‐wave features and its indoor and outdoor coverage along with some machine learning techniques are presented in this article.

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