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1. P2Net: A Two-Stage Personalized Pedestrian Dead Reckoning Based on Neural Networks NSTL国家科技图书文献中心

Du, Qianqian |  Wang, Zihang... -  《IEEE sensors journal》 - 2025,25(3) - 5757~5768 - 共12页

摘要:Pedestrian dead reckoning (PDR) uses built-in |  personalized pedestrian dead reckoning based on neural |  pedestrian step length. Experimental results demonstrate |  sensors in smartphones to track user positions, offering |  both versatility and portability. However
关键词: Pedestrians |  Smart phones |  Estimation |  Neural networks |  Hidden Markov models |  Feature extraction |  Sensors |  Dead reckoning |  Deep learning |  Convolutional neural networks...

2. ALS+PDR: Indoor Pedestrian Dead Reckoning Using a Smartphone Ambient Light Sensor NSTL国家科技图书文献中心

Sosuke Otsuka |  Yusei Onishi... -  《ieee journal of indoor and seamless positioning and navigation》 - 2025,3 - 43~52 - 共10页

摘要: (VLP) with pedestrian dead reckoning (PDR), using a | This article proposes an indoor position | -estimation method that integrates visible light positioning |  smartphone's built-in ambient light sensor (ALS) offering |  lower power consumption than a camera and inertial
关键词: Cameras |  Power demand |  Navigation |  Light emitting diodes |  Interpolation |  Legged locomotion |  Estimation |  Performance evaluation |  Pedestrians |  Discrete Fourier transforms

3. An improved pedestrian dead reckoning method based on gait pattern recognition NSTL国家科技图书文献中心

Liu, Ermao |  Cui, Lizhen... -  《Sensor Review》 - 2025,45(1) - 116~128 - 共13页

摘要:Purpose - The pedestrian dead reckoning (PDR |  pedestrian are mixed, traditional PDR tends to become |  the transition points in pedestrian gait |  self-constructed data set. The pedestrian navigation |  robustness and smoothness of pedestrian tracking
关键词: Neural network |  Gait recognition |  PDR |  MEMS |  IMU |  Indoor positioning

4. Pedestrian Navigation Using Waist-Mounted IMU and RTK NSTL国家科技图书文献中心

Huang, Jiangfeng |  Zou, Mengqiang... -  《IEEE sensors journal》 - 2025,25(3) - 5510~5519 - 共10页 - 被引量:1

摘要: kinematic (RTK) and pedestrian dead reckoning (PDR). The | Inertial navigation systems (INSs) play a |  crucial role in global navigation satellite system (GNSS | )-denied environments, including individual soldier |  positioning, emergency rescue, and healthcare applications
关键词: Micro-electro-mechanical system (MEMS) sensors |  pedestrian dead reckoning (PDR) |  pedestrian navigation |  real-time kinematic (RTK)

5. uLiDR: An inertial-assisted unmodulated visible light positioning system for smartphone-based pedestrian navigation NSTL国家科技图书文献中心

Yang, Xiansheng |  Zhang, Hao... -  《Information Fusion》 - 2025,113 - 共17页 - 被引量:3

摘要: integration of uVLP and Pedestrian Dead Reckoning (PDR) in |  pedestrian navigation. As slight tilts of the phone are |  precise pedestrian navigation and effectively suppress | Visible Light Positioning (VLP) techniques |  have attracted considerable attention owing to their
关键词: Visible light positioning |  Unmodulated LED |  Pedestrian dead reckoning |  Smartphone-based pedestrian navigation

6. Smartphone Indoor Fusion Localization with Trust Region-Based Magnetic Matching NSTL国家科技图书文献中心

Yu Zhu |  Yan Jia... -  《Wireless Artificial Intelligent Computing Systems and Applications,Part I》 -  International Conference on Wireless Artificial Intelligent Computing Systems and Applications - 2025, - 14~25 - 共12页

摘要: pedestrian dead reckoning in the localization system | Magnetic indoor localization has attracted |  great attention in recent researches because of its |  advantage of not requiring additional equipment. However | , existing magnetic matching methods have limited stability
关键词: Magnetic matching |  Breadth-first enumeration |  Trust region |  Pedestrian dead reckoning uncertainty |  Fusion localization

7. GIPos: A Geomagnetism/IMU Fusion Positioning Method to Address Geomagnetic Mismatching NSTL国家科技图书文献中心

Liu, Ao |  Wang, Wenguang... -  《IEEE sensors journal》 - 2025,25(2) - 3431~3443 - 共13页

摘要: a pedestrian dead reckoning (PDR) heading-based |  compared to other methods. Besides, pedestrian | Geomagnetic positioning (GP) stands as a |  formidable research frontier within the domain of indoor |  positioning. Various GP methods have recently brought
关键词: Geomagnetic mismatching |  geomagnetic positioning (GP) |  indoor positioning |  multisource fusion |  pedestrian dead reckoning (PDR)

8. Multi-Sensor fusion and semantic map-based particle filtering for robust indoor localization NSTL国家科技图书文献中心

Yang, Xu |  Huang, Xiaojuan... -  《Measurement》 - 2025,242PA(Pt.2) - 115874~ - 共9页

摘要: pedestrian dead reckoning. During the observation phase, we | To enhance positioning accuracy and ensure |  long-term stability in large-scale indoor |  environments, this paper presents a robust particle filtering |  method that integrates IMU, magnetic field, Bluetooth
关键词: Particle filter |  Indoor localization |  Multi-sensor fusion |  Semantic map |  Pedestrian dead reckoning

9. Simple and efficient step detection algorithm for foot-mounted IMU NSTL国家科技图书文献中心

Shi, Ling-Feng |  Yan, Xu... -  《Measurement Science & Technology》 - 2025,36(1) - 1~14 - 共14页

摘要: maps the temporal values of pedestrian motion and | This paper presents a concise, efficient, and |  adaptive step detection algorithm based on foot-mounted |  inertial measurement unit sensors. The proposed method |  gait diversity into two variables: the distance
关键词: pedestrian dead reckoning |  step detection |  IMU |  algorithm complexity |  adaptive factor

10. Improved 3-D PDR: Optimized Motion Pattern Recognition and Adaptive Step Length Estimation NSTL国家科技图书文献中心

Li, Changgeng |  Yu, Siying... -  《IEEE sensors journal》 - 2025,25(5) - 9152~9166 - 共15页

摘要:. In this article, a 3-D pedestrian dead reckoning | As people spend more time indoors, the demand |  for indoor positioning is increasing. Two | -dimensional indoor positioning technology makes it difficult |  to meet people's needs. Therefore, 3-D indoor
关键词: Three-dimensional displays |  Pattern recognition |  Estimation |  Accuracy |  Feature extraction |  Pedestrians |  Solid modeling |  Sensors |  Stairs |  Training...
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