Pedestrian inertial navigation: An overview of model and data-driven approaches

被引：0
|
作者：
Klein, Itzik [1 ]
机构：
[1] Univ Haifa, Charney Sch Marine Sci, Hatter Dept Marine Technol, Autonomous Nav & Sensor Fus Lab, Haifa, Israel
来源：
RESULTS IN ENGINEERING | 2025年 / 25卷
关键词：
Pedestrian dead reckoning; Inertial sensors; Machine learning; ZERO-VELOCITY DETECTION; STEP-LENGTH ESTIMATION; SMARTPHONE; ATTITUDE; ACCELEROMETER; MOVEMENT; SYSTEMS;
D O I：
10.1016/j.rineng.2025.104077
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The task of indoor positioning is fundamental to several applications, including navigation, healthcare, location- based services, and security. An emerging field is inertial navigation for pedestrians, which relies only on inertial sensors for positioning. In this paper, we present inertial pedestrian navigation models and learning approaches. Among these, are methods and algorithms for shoe-mounted inertial sensors and pedestrian dead reckoning (PDR) with unconstrained inertial sensors. We also address three categories of data-driven PDR strategies: activity- assisted, hybrid approaches, and learning-based frameworks.
引用
收藏
页数：12
相关论文
共 50 条
  • [1] Three Symmetries for Data-Driven Pedestrian Inertial Navigation
    Wahlstrom, Johan
    Kok, Manon
    IEEE SENSORS JOURNAL, 2022, 22 (06) : 5797 - 5805
  • [2] Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
    Wagstaff, Brandon
    Peretroukhin, Valentin
    Kelly, Jonathan
    IEEE SENSORS JOURNAL, 2020, 20 (02) : 957 - 967
  • [3] Machine Learning-Based Zero-Velocity Detection for Inertial Pedestrian Navigation
    Kone, Yacouba
    Zhu, Ni
    Renaudin, Valerie
    Ortiz, Miguel
    IEEE SENSORS JOURNAL, 2020, 20 (20) : 12343 - 12353
  • [4] Organic Solvent Nanofiltration and Data-Driven Approaches
    Piccard, Pieter-Jan
    Borges, Pedro
    Cleuren, Bart
    Hooyberghs, Jef
    Buekenhoudt, Anita
    SEPARATIONS, 2023, 10 (09)
  • [5] Data-driven approaches in FinTech: a survey
    Tian, Xin
    He, Jing Selena
    Han, Meng
    INFORMATION DISCOVERY AND DELIVERY, 2021, 49 (02) : 123 - 135
  • [6] CSI-Based Proximity Estimation: Data-Driven and Model-Based Approaches
    Bezerra, Lucas C. D.
    Kouzayha, Nour
    Elsawy, Hesham
    Bader, Ahmed
    Al-Naffouri, Tareq Y.
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 97 - 111
  • [7] Foot Pronation Prediction with Inertial Sensors during Running: A Preliminary Application of Data-Driven Approaches
    Xiang, Liangliang
    Gu, Yaodong
    Wang, Alan
    Shim, Vickie
    Gao, Zixiang
    Fernandez, Justin
    JOURNAL OF HUMAN KINETICS, 2023, 88 (01) : 29 - 40
  • [8] Synergy of Model-driven and Data-driven Approaches in a Dynamic Network Loading Problem
    Kurtc, Valentina
    Prokhorov, Andrey
    TRAFFIC AND GRANULAR FLOW 2022, TGF 2022, 2024, 443 : 487 - 494
  • [9] Classification for Dynamical Systems: Model-Based and Data-Driven Approaches
    Battistelli, Giorgio
    Tesi, Pietro
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (04) : 1741 - 1748
  • [10] A Survey on Artificial Intelligence for Pedestrian Navigation with Wearable Inertial Sensors
    Fu, Hanyuan
    Kone, Yacouba
    Renaudin, Valerie
    Zhu, Ni
    2022 IEEE 12TH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2022), 2022,
12345