Motion-constrained pedestrian tracking framework based on distributed inertial sensors

Authors

Yue Yu (ORCID: https://orcid.org/0000-0003-3529-585X)
Ruizhi Chen (ORCID: https://orcid.org/0000-0001-6683-2342)
Lin Qi (ORCID: https://orcid.org/0000-0002-4553-188X)
Yi Zhang (ORCID: https://orcid.org/0000-0002-5179-3202)
Izzy Yi Jian (ORCID: https://orcid.org/0000-0001-7957-3546)
Liang Chen (ORCID: https://orcid.org/0000-0002-7083-6001)
Yu Liu (ORCID: https://orcid.org/0000-0001-6929-1481)

Institutions

Hong Kong Polytechnic University (HK)
China Electronics Technology Group Corporation (CN)
Wuhan University (CN)
Education University of Hong Kong (HK)
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)

Publication Details

Journal: Geo-spatial Information Science
Published: 2025-09-09
DOI: https://doi.org/10.1080/10095020.2025.2547947
Primary Topic: Robotics and Sensor-Based Localization
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China
Hong Kong Polytechnic University
Wuhan University
Chongqing Municipal Education Commission
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Motion-constrained pedestrian tracking framework based on distributed inertial sensors

Yue Yu, Ruizhi Chen, Lin Qi, Yi Zhang et al.

Sep 9, 2025

Geo-spatial Information Science

Robotics and Sensor-Based Localization

article

Motion-constrained pedestrian tracking framework based on distributed inertial sensors

Yue Yu, Ruizhi Chen, Lin Qi, Yi Zhang, Izzy Yi Jian, Liang Chen, Yu Liu

September 9, 2025article en

Abstract

No abstract available for this paper.

Geo-spatial Information Science

Hong Kong Polytechnic University (HK), China Electronics Technology Group Corporation (CN), Wuhan University (CN), Education University of Hong Kong (HK), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)

National Natural Science Foundation of China, Hong Kong Polytechnic University, Wuhan University, Chongqing Municipal Education Commission, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Openalex Percentile: Top 67%

Robotics and Sensor-Based Localization

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.