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GPS-assisted Indoor Pedestrian Dead Reckoning

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2022
Indoor pedestrian dead reckoning (PDR) using embedded inertial sensors in smartphones has been actively studied in the ubicomp community. However, PDR relying only on inertial sensors suffers from the accumulation of errors from the sensors. Researchers have employed various indoor landmarks detectable by smartphone sensors such as magnetic ...
Heng Zhou, Takuya Maekawa
openaire   +2 more sources

Wearable indoor pedestrian dead reckoning system

Pervasive and Mobile Computing, 2010
We introduce a wearable pedestrian indoor localization system with dynamic position correction. The system uniquely combines dead reckoning and fiducial marker-based localization schemes, exclusively using widely available, low end and low power consumer hardware components. The proposed system was tested with various walking patterns inside a building,
Jorge Torres-Solis, Tom Chau
openaire   +3 more sources

A Double-Step Unscented Kalman Filter and HMM-Based Zero-Velocity Update for Pedestrian Dead Reckoning Using MEMS Sensors

IEEE Transactions on Industrial Electronics, 2020
In this paper, we propose a novel method for pedestrian dead reckoning (PDR) using microelectromechanical system magnetic, angular rate, and gravity sensors, which includes a double-step unscented Kalman filter (DUKF) and hidden Markov model (HMM)-based ...
Xin Tong   +6 more
semanticscholar   +3 more sources

Acoustic-assisted Indoor Pedestrian Dead Reckoning

Proceedings of the 2025 ACM International Symposium on Wearable Computers
Pedestrian Dead Reckoning (PDR) using smartphone IMUs enables infrastructure-free indoor localization but suffers from accumulated drift due to sensor noise and unknown initial states.
Yang Wang, Heng Zhou, Takuya Maekawa
openaire   +2 more sources

Tightly Coupled Integration of Pedestrian Dead Reckoning and Bluetooth Based on Filter and Optimizer

IEEE Internet of Things Journal, 2023
As a critical topic of Internet of Things applications, smartphone-based indoor navigation has a rapidly growing need in various applications. However, indoor navigation technology is unreliable when facing a challenge in complex indoor environments ...
Xuan Wang   +8 more
semanticscholar   +1 more source

A Magnetic Interference Detection-Based Fusion Heading Estimation Method for Pedestrian Dead Reckoning Positioning

IEEE Sensors Journal, 2023
In indoor positioning, smartphone-based pedestrian dead reckoning (PDR) is a popular method. It does not require any predeployed infrastructure and can provide real-time, continuous position estimation with a known initial position. However, magnetometer
Yingbiao Yao   +3 more
semanticscholar   +1 more source

Speed estimation for pedestrian dead-reckoning

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010
In this paper a new speed estimation method for pedestrian dead-reckoning is presented. The proposed approach is based on the estimated channel frequency response of Digital Video Broadcasting-Terrestrial (DVB-T) signals. Correlation coefficients are calculated from the acquired envelopes and the coherence time is estimated for a certain correlation ...
Bogdan Pricope, Harald Haas
openaire   +1 more source

Pedestrian Dead Reckoning Method Based on Array IMU

IEEE Sensors Journal
Consumer-grade micro-electromechanical system (MEMS) inertial measurement unit (IMU) suffers from severe random noise, which prevents precisely pedestrian localization.
Feifan Lin   +5 more
openaire   +2 more sources

Strap-down Pedestrian Dead-Reckoning system

2011 International Conference on Indoor Positioning and Indoor Navigation, 2011
This paper presents a waist-worn Pedestrian Dead Reckoning (PDR) System that requires minimal end-user calibration. The PDR system is based on an Inertial Measurement Unit (IMU) comprising of a tri-axial accelerometer, a tri-axial magnetometer and a tri-axial gyroscope.
Pragun Goyal   +3 more
openaire   +1 more source

The Extended Kalman Filter With Reduced Computation Time for Pedestrian Dead Reckoning

IEEE Sensors Letters, 2023
The extended Kalman filter (EKF) has been used in resea-rch works on attitude estimation of the inertial measurement unit (IMU) and pedestrian dead reckoning (PDR).
Shunsei Yamagishi, Lei Jing
semanticscholar   +1 more source

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