Robust Pedestrian Dead Reckoning for Multiple Poses in Smartphones [PDF]
IEEE Access, 2021 In this paper, an integration approach (IA) and parametric approach (PA) fusion-based pedestrian dead reckoning (PDR) using low-cost inertial sensors is proposed to improve the indoor position estimation.
Soyoung Park +2 more
doaj +2 more sources
Geo-spatial Information Science, 2019 Dead Reckoning is a relative positioning scheme that is used to infer the change of position relative to a point of origin by measuring the traveled distance and orientation change. Pedestrian Dead Reckoning (PDR) applies this concept to walking persons.
Fabian Hölzke +3 more
doaj +2 more sources
Probabilistic Context-Aware Step Length Estimation for Pedestrian Dead Reckoning [PDF]
IEEE Sensors Journal, 2018 This paper introduces a weighted context-based step length estimation algorithm for pedestrian dead reckoning. Six pedestrian contexts are considered: stationary, walking, walking sideways, climbing and descending stairs, and running. Instead of computing the step length based on a single context, the step lengths computed for different contexts are ...
Alessio Martinelli +3 more
openaire +5 more sources
Context-assisted personalized pedestrian dead reckoning localization with a smartphone
Geo-spatial Information SciencePedestrian Dead Reckoning (PDR) plays an important role in multi-sensor fusion of indoor positioning due to its autonomy and continuity advantages. The robustness of PDR significantly impacts indoor positioning accuracy, but various pedestrians and ...
Gege Huang +4 more
doaj +2 more sources
Use of High Sensitivity GNSS Receiver Doppler Measurements for Indoor Pedestrian Dead Reckoning [PDF]
Sensors, 2013 Dead-reckoning (DR) algorithms, which use self-contained inertial sensors combined with gait analysis, have proven to be effective for pedestrian navigation purposes. In such DR systems, the primary error is often due to accumulated heading drifts.
Gérard Lachapelle +3 more
doaj +2 more sources
3-D Passive-Vision-Aided Pedestrian Dead Reckoning for Indoor Positioning [PDF]
IEEE Transactions on Instrumentation and Measurement, 2020 The vision-aided pedestrian dead reckoning (PDR) systems have become increasingly popular, thanks to the ubiquitous mobile phone embedded with several sensors. This is particularly important for indoor use, where other indoor positioning technologies require additional installation or body attachment of specific sensors.
Jingjing Yan +3 more
openaire +4 more sources
Improving Indoor Pedestrian Dead Reckoning for Smartphones under Magnetic Interference Using Deep Learning. [PDF]
Sensors (Basel), 2023 As micro-electro-mechanical systems (MEMS) technology continues its rapid ascent, a growing array of smart devices are integrating lightweight, compact, and cost-efficient magnetometers and inertial sensors, paving the way for advanced human motion ...
Zhu P, Yu X, Han Y, Xiao X, Liu Y.
europepmc +2 more sources
Accurate Localization Method Combining Optimized Hybrid Neural Networks for Geomagnetic Localization with Multi-Feature Dead Reckoning [PDF]
SensorsLocation-based services provide significant economic and social benefits. The ubiquity, low cost, and accessibility of geomagnetism are highly advantageous for localization.
Suqing Yan +5 more
doaj +2 more sources
On Fusing Wireless Fingerprints with Pedestrian Dead Reckoning to Improve Indoor Localization Accuracy. [PDF]
Sensors (Basel)Accurate indoor positioning remains a critical challenge due to the limitations of single-source systems, such as signal instability and environmental obstructions.
Fernando GC +4 more
europepmc +2 more sources
Finding Your Way Back: Comparing Path Odometry Algorithms for Assisted Return. [PDF]
, 2021 We present a comparative analysis of inertial-based odometry algorithms for the purpose of assisted return. An assisted return system facilitates backtracking of a path previously taken, and can be particularly useful for blind pedestrians.
Elyasi, Fatemeh +3 more
core +2 more sources