Results 41 to 50 of about 1,193 (167)

Indoor WiFi-PDR Fusion Location Algorithm Based on Extended Kalman Filter [PDF]

open access: yesJisuanji gongcheng, 2019
Indoor WiFi location accuracy is low,and Pedestrian Dead Reckoning(PDR) location has the problem of cumulative error.Therefore,a WiFi-PDR fusion location algorithm based on Extended Kalman Filter(EKF) is proposed.WiFi achieves matching location by ...
LIU Qing,GUAN Weiguo,LI Shunkang,WANG Fang
doaj   +1 more source

Improving pedestrian dynamics modelling using fuzzy logic [PDF]

open access: yes, 2009
The complementary nature of MEMS based pedestrian dead-reckoning (PDR) navigation and GNSS (Global Navigation Satellite System) has long been recognised. The advantages are quite clear for those applications requiring indoor positioning and that, for one
Bertrand Merminod   +7 more
core   +1 more source

Pedestrian dead reckoning with wearable sensors: a systematic review [PDF]

open access: yes, 2020
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
Hou, Xinyu, Bergmann, Jeroen
core   +2 more sources

Fusion-Based Smartphone Positioning Using Unsupervised Calibration of Crowdsourced Wi-Fi FTM

open access: yesIEEE Access, 2022
This paper presents a multi-source fusion smartphone localization solution using Wi-Fi Fine Time Measurement (FTM) and Pedestrian Dead Reckoning (PDR), calibrated via multi-source and unsupervised crowdsourcing.
Hao-Wei Chan   +3 more
doaj   +1 more source

Smartphone Motion Mode Recognition

open access: yesProceedings, 2017
The possibility of using mobile devices, such as smartphones, for locating a person indoor is becoming more attractive for many applications. Among them are health care and safety services, commercial and emergency applications.
Itzik Klein, Yuval Solaz, Guy Ohayon
doaj   +1 more source

A Novel Indoor Localization Method Based on Image Retrieval and Dead Reckoning

open access: yesApplied Sciences, 2020
Indoor pedestrian localization measurement is a hot topic and is widely used in indoor navigation and unmanned devices. PDR (Pedestrian Dead Reckoning) is a low-cost and independent indoor localization method, estimating position of pedestrians ...
Jiuchao Qian   +3 more
doaj   +1 more source

Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse

open access: yesSensors, 2019
The performance of indoor localization methods is highly dependent on the situations in which they are used. Various competitions on indoor localization have been held for fairly comparing the existing indoor localization methods in shared and controlled
Ryosuke Ichikari   +5 more
doaj   +1 more source

A Robust GNSS/PDR Integration Scheme with GRU-Based Zero-Velocity Detection for Mass-Pedestrians

open access: yesRemote Sensing, 2022
Aiming at the problem of high-precision positioning of mass-pedestrians with low-cost sensors, a robust single-antenna Global Navigation Satellite System (GNSS)/Pedestrian Dead Reckoning (PDR) integration scheme is proposed with Gate Recurrent Unit (GRU)-
Dongpeng Xie   +6 more
doaj   +1 more source

PDR/INS/WiFi Integration Based on Handheld Devices for Indoor Pedestrian Navigation

open access: yesMicromachines, 2015
Providing an accurate and practical navigation solution anywhere with portable devices, such as smartphones, is still a challenge, especially in environments where global navigation satellite systems (GNSS) signals are not available or are degraded ...
Yuan Zhuang   +3 more
doaj   +1 more source

Cooperative Smartphone GNSS/PDR for Pedestrian Navigation [PDF]

open access: yes, 2023
Pedestrian navigation using smartphone built-in sensors attracted wide attention with the booming Location-based Service (LBS). Pedestrian Dead Reckoning (PDR) and Global Navigation Satellite Navigation (GNSS) integration is recognized as a reliable ...
Hyyppa, Juha   +13 more
core   +1 more source

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