Context-assisted personalized pedestrian dead reckoning localization with a smartphone-Reference-Cited by-同舟云学术

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Context-assisted personalized pedestrian dead reckoning localization with a smartphone

Published:2024-04-17 Issue: Volume: Page:1-17
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Huang Gege¹^ORCID,Liu Jingbin¹^ORCID,Yang Sheng¹^ORCID,Gong Xiaodong¹^ORCID,Zhao Yinzhi²³^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

3. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan, China

Funder

Natural Science Fund of China

Shenzhen Science and Technology Program

Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2338225

Reference47 articles.

1. Step detection algorithm for accurate distance estimation using dynamic step length

2. Device-free human micro-activity recognition method using WiFi signals

3. Effective Audio Signal Arrival Time Detection Algorithm for Realization of Robust Acoustic Indoor Positioning

4. Positioning Techniques in Indoor Environments Based on Stochastic Modeling of UWB Round-Trip-Time Measurements

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