Accurate Stride-Length Estimation Based on LT-StrideNet for Pedestrian Dead Reckoning Using a Shank-Mounted Sensor [PDF]
Micromachines, 2023 Pedestrian dead reckoning (PDR) is a self-contained positioning technology and has been a significant research topic in recent years. Pedestrian-stride-length estimation is the core part of the PDR system and directly affects the performance of the PDR ...
Yong Li +3 more
doaj +3 more sources
Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System [PDF]
Sensors, 2019 Pedestrian dead reckoning (PDR) systems based on a microelectromechanical-inertial measurement unit (MEMS-IMU) providing advantages of full autonomy and strong anti-jamming performance are becoming a feasible choice for pedestrian indoor positioning.
Qigao Fan +8 more
doaj +4 more sources
A Context-Aware Smartphone-Based 3D Indoor Positioning Using Pedestrian Dead Reckoning [PDF]
Sensors, 2022 The rise in location-based service (LBS) applications has increased the need for indoor positioning. Various methods are available for indoor positioning, among which pedestrian dead reckoning (PDR) requires no infrastructure.
Boshra Khalili +3 more
doaj +3 more sources
Pedestrian Dead-Reckoning Indoor Localization Based on OS-ELM
IEEE Access, 2018 Smartphone-based pedestrian dead-reckoning (PDR) has become promising in indoor localization since it locates users with a smartphone only. However, existing PDR approaches are still facing the problem of accumulated localization errors due to low-cost ...
Mingyang Zhang +5 more
doaj +4 more sources
Pedestrian Dead Reckoning With Wearable Sensors: A Systematic Review [PDF]
IEEE Sensors Journal, 2021 Pedestrian Dead Reckoning (PDR) is the process of calculating one's current location by using the previously known position, and advancing that position over time using established or estimated speeds and trajectories (or alternatively stride lengths and directions). PDR plays an important role in modern life, including tracking locations of people and
Xinyu Hou, Jeroen Bergmann
openaire +3 more sources
IMPROVEMENT OF PEDESTRIAN DEAD RECKONING ALGORITHM FOR INDOOR POSITIONING BY USING STEP LENGTH ESTIMATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Pedestrian dead reckoning (PDR) can solve the position information by its inertial measurement unit (IMU), which is a method to achieve indoor autonomous positioning without deploying positioning base stations in advance.
L. Huang, H. Li, W. Li, W. Wu, X. Kang
doaj +2 more sources
Indoor Spatiotemporal Contact Analytics Using Landmark-Aided Pedestrian Dead Reckoning on Smartphones [PDF]
Sensors, 2022 Due to the prevalence of COVID-19, providing safe environments and reducing the risks of virus exposure play pivotal roles in our daily lives. Contact tracing is a well-established and widely-used approach to track and suppress the spread of viruses ...
Lulu Gao, Shin’ichi Konomi
doaj +2 more sources
Enhanced Pedestrian Dead Reckoning Sensor Fusion for Firefighting
Engineering Proceedings, 2023 Knowing the exact position of firefighters in a building during an indoor firefighting operation is critical to improving the efficiency and safety of firefighters.
Tobias Augustin, Daniel Ossmann
doaj +2 more sources
An Improved Pedestrian Ttracking Method Based on Wi-Fi Fingerprinting and Pedestrian Dead Reckoning [PDF]
Sensors, 2020 Wi-Fi based positioning has great potential for use in indoor environments because Wi-Fi signals are near-ubiquitous in many indoor environments. With a Reference Fingerprint Map (RFM), fingerprint matching can be adopted for positioning.
Bo Feng +3 more
doaj +2 more sources
Pedestrian Dead Reckoning-Assisted Visual Inertial Odometry Integrity Monitoring. [PDF]
Sensors (Basel), 2019 Visual inertial odometers (VIOs) have received increasing attention in the area of indoor positioning due to the universality and convenience of the camera. However, the visual observation of VIO is more susceptible to the environment, and the error of observation affects the final positioning accuracy.
Wang Y, Peng A, Lin Z, Zheng L, Zheng H.
europepmc +5 more sources