Optimal heading estimation based multidimensional particle filter for pedestrian indoor positioning

L Pei, D Liu, D Zou, RLF Choy, Y Chen, Z He - IEEE Access, 2018 - ieeexplore.ieee.org
Localization capability is a challenging task in global navigation satellite system-degraded
or denied environments. Alternatively, today's smartphones have an increased number of …

A multi-mode PDR perception and positioning system assisted by map matching and particle filtering

X Wang, G Chen, M Yang, S Jin - ISPRS International Journal of Geo …, 2020 - mdpi.com
Currently, pedestrian dead reckoning (PDR) is widely used in indoor positioning. Since
there are restrictions on a device's pose in the procedure of using a smartphone to perform …

Improving the heading accuracy in indoor pedestrian navigation based on a decision tree and Kalman filter

G Hu, W Zhang, H Wan, X Li - Sensors, 2020 - mdpi.com
In pedestrian inertial navigation, multi-sensor fusion is often used to obtain accurate heading
estimates. As a widely distributed signal source, the geomagnetic field is convenient to …

Pedestrian indoor localization method based on integrated particle filter

LF Shi, BL Feng, YF Dai, GX Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To solve the problem of time-consuming, laborious, and low accuracy in magnetic map
construction, a trajectory guided 2-D magnetic map construction method is proposed in this …

Indoor pedestrian localization using iBeacon and improved Kalman filter

K Sung, DKR Lee, H Kim - Sensors, 2018 - mdpi.com
The reliable and accurate indoor pedestrian positioning is one of the biggest challenges for
location-based systems and applications. Most pedestrian positioning systems have drift …

Floor map-aware particle filtering based indoor navigation system

SA Junoh, S Subedi, JY Pyun - Ieee Access, 2021 - ieeexplore.ieee.org
Smartphone-based indoor navigation systems are becoming increasingly popular in a
variety of applications. However, localization accuracy has always been a challenge. The …

Map-based indoor pedestrian navigation using an auxiliary particle filter

C Yu, N El-Sheimy, H Lan, Z Liu - Micromachines, 2017 - mdpi.com
In this research, a non-infrastructure-based and low-cost indoor navigation method is
proposed through the integration of smartphone built-in microelectromechanical systems …

Extended Kalman filter for real time indoor localization by fusing WiFi and smartphone inertial sensors

ZA Deng, Y Hu, J Yu, Z Na - Micromachines, 2015 - mdpi.com
Indoor localization systems using WiFi received signal strength (RSS) or pedestrian dead
reckoning (PDR) both have their limitations, such as the RSS fluctuation and the …

Foot-mounted pedestrian navigation based on particle filter with an adaptive weight updating strategy

Y Gu, Q Song, Y Li, M Ma - The Journal of Navigation, 2015 - cambridge.org
The algorithm flow of an inertial-based Pedestrian Navigation System (PNS) can be divided
into a trajectory-generation stage and trajectory-calibration stage. The Zero-velocity UPdaTe …

Heading estimation for pedestrian dead reckoning based on robust adaptive Kalman filtering

D Wu, L Xia, J Geng - Sensors, 2018 - mdpi.com
Pedestrian dead reckoning (PDR) using smart phone-embedded micro-electro-mechanical
system (MEMS) sensors plays a key role in ubiquitous localization indoors and outdoors …