MLA-MFL: A Smartphone Indoor Localization Method for Fusing Multisource Sensors Under Multiple Scene Conditions-Reference-Cited by-同舟云学术

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MLA-MFL: A Smartphone Indoor Localization Method for Fusing Multisource Sensors Under Multiple Scene Conditions

Published:2024-08-15 Issue:16 Volume:24 Page:26320-26333
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Jianhua Liu¹^ORCID,Baoshan Zeng¹,Li Songnian²^ORCID,Zlatanova Sisi³^ORCID,Zhijie Yang¹,Mingchen Bai¹,Bing Yu¹,Danqi Wen¹

Affiliation:

1. School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China

2. Department of Civil Engineering, Toronto Metropolitan University, Toronto, ON, Canada

3. School of Built Environment, The University of New South Wales, Sydney, NSW, Australia

Funder

Beijing Key Laboratory of Urban Spatial Information Engineering

Beijing association of higher education

Beijing University of Civil Engineering and Architecture Education Scientific Research Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10586863.pdf?arnumber=10586863

Reference45 articles.

1. Large-Scale Indoor Localization Solution for Pervasive Smartphones Using Corrected Acoustic Signals and Data-Driven PDR

2. Fusing acoustic ranges and inertial sensors using a data and model dual-driven approach;Chen;Acta Geodaetica et Cartographica Sinica,2022

3. Multimodal Indoor Localization: Fusion Possibilities of Ultrasonic and Bluetooth Low-Energy Data

4. An Indoor 3-D Quadrotor Localization Algorithm Based on WiFi RTT and MEMS Sensors

5. Indoor scenario-based UWB anchor placement optimization method for indoor localization

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