Results 11 to 20 of about 2,020 (171)

SHAKF-PU: Sage–Husa Adaptive Kalman Filtering-Based Pedestrian Characteristic Parameter Update Mechanism for Enhancing Step Length Estimation in Pedestrian Dead Reckoning [PDF]

open access: yesApplied Bionics and Biomechanics
Step length estimation (SLE) is the core process for pedestrian dead reckoning (PDR) for indoor positioning. Original SLE requires accurate estimations of pedestrian characteristic parameter (PCP) by the linear update, which may cause large distance ...
Chinyang Henry Tseng, Jiunn-Yih Wu
doaj   +2 more sources

Pedestrian Dead-Reckoning Indoor Localization Based on OS-ELM

open access: yesIEEE 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   +2 more
exaly   +3 more sources

IMPROVEMENT OF PEDESTRIAN DEAD RECKONING ALGORITHM FOR INDOOR POSITIONING BY USING STEP LENGTH ESTIMATION [PDF]

open access: yesThe 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   +1 more source

Enhancing Body-Mounted LiDAR SLAM using an IMU-based Pedestrian Dead Reckoning (PDR) Model [PDF]

open access: yes2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), 2020
Simultaneous localization and mapping for human body-mounted platforms have been recently the focus of navigation research to support a wide range of applications such as rescue, first-responders, mining, and defense. For vehicular platforms, wheel odometry has been used to enhance the accuracy of SLAM.
Hamza Sadruddin   +2 more
openaire   +2 more sources

PDR Indoor Positioning Method Based on M2M Encounter Region [PDF]

open access: yesJisuanji kexue, 2022
In indoor positioning,the main advantage of pedestrian dead reckoning(PDR)is that the user only needs to have a smart phone to realize positioning,without relying on the external environment.However,there is a large cumulative error.Ge-nerally,it is ...
TANG Qing-hua, WANG Mei, TANG Chao-chen, LIU Xin, LIANG Wen
doaj   +1 more source

The Diverse Gait Dataset: Gait Segmentation Using Inertial Sensors for Pedestrian Localization with Different Genders, Heights and Walking Speeds

open access: yesSensors, 2022
Stride length estimation is one of the most crucial aspects of Pedestrian Dead Reckoning (PDR). Due to the measurement noise of inertial sensors, individual variances of pedestrians, and the uncertainty in pedestrians walking, there is a substantial ...
Chao Huang   +3 more
doaj   +1 more source

Finding Your Way Back: Comparing Path Odometry Algorithms for Assisted Return. [PDF]

open access: yes, 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

An Indoor Pedestrian Positioning Algorithm Based on Smartphone Sensor [PDF]

open access: yesJisuanji gongcheng, 2016
Advances on smartphones and built-in inertial sensors have given rise to pedestrian dead reckoning using smartphone sensors.However,an accurate Pedestrian Dead Reckoning(PDR) system using smartphone sensors is not available yet,for smartphone sensors are
ZHOU Rui,LUO Lei,LI Zhiqiang,SANG Nan
doaj   +1 more source

A Real-Time GNSS/PDR Navigation System for Mobile Devices

open access: yesRemote Sensing, 2021
In this article, a smart pedestrian navigation system is developed to be implemented in a common smartphone. The main phases that characterize a pedestrian navigation system that is based on dead reckoning are introduced.
Michele Basso   +3 more
doaj   +1 more source

Integrated WiFi/PDR/Smartphone using an unscented Kalman filter algorithm for 3D indoor localization [PDF]

open access: yes, 2015
Because of the high calculation cost and poor performance of a traditional planar map when dealing with complicated indoor geographic information, a WiFi fingerprint indoor positioning system cannot be widely employed on a smartphone platform.
Chen   +15 more
core   +16 more sources

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