Map Aided Pedestrian Dead Reckoning Using Buildings Information for Indoor Navigation Applications

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ISSN Print: 2150-850X
ISSN Online: 2150-8526
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"Map Aided Pedestrian Dead Reckoning Using Buildings Information for Indoor Navigation Applications"
written by Mohamed Attia, Adel Moussa, Naser El-Sheimy,
published by Positioning, Vol.4 No.3, 2013

has been cited by the following article(s):

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[2]	Establishing contextually aware sensors for elderly activity monitoring systems
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[3]	Accuracy Improvement of Pedestrian Dead-Reckoning Based Map Heading Constraint in GNSS-Denied Environments
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[4]	Systematic Augmentation of Artoolkit Markers for Indoor Navigation and Guidance: Systematic Augmentation of ARToolkit Markers for Indoor Navigation and …
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[6]	Heading Angle Estimation based on Peak Prominence Detection for PDR localization
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[7]	Technology assisted risk assessment in homecare
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[8]	A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking
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[9]	Systematic Augmentation of Artoolkit Markers for Indoor Navigation and Guidance
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[10]	Systematic Augmentation of Artoolkit Markers for Indoor Navigation and Guidance: Systematic Augmentation of ARToolkit Markers for Indoor Navigation and Guidance
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[11]	Internet of Things home healthcare: the feasibility of elderly activity monitoring
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[12]	A pedestrian tracking algorithm using grid-based indoor model
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[13]	Improved Matching Algorithm Design Based on Dynamic Network Intrusion Feature
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[14]	Evaluation of Mobile Device Based Indoor Navigation System by Using Ground Truth Information from Terrestrial LiDAR
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[15]	Robust Path Back-Tracing Guidance System for Blind People
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[16]	Smartphone Orientation Tracking Algorithm for Pedestrian Navigation
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[17]	Indoor Sound Based Localization
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[18]	Pedestrian indoor positioning and tracking using smartphone sensors step detection and map matching algorithm
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[19]	Indoor way finder navigation system using smartphone
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[20]	A mapping method in uneven terrain based on hand-held laser scanning and PDR
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[21]	Smartphone assisted pedestrian localization within buildings
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[22]	Pedestrian Indoor Positioning and Tracking using Smartphone Sensors, Step Detection and Map Matching Algorithm
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[23]	Pozicioniranje i praćenje pješaka u zatvorenom prostoru koristeći senzore pametnih telefona, otkrivanje koraka i algoritam za geokodiranje
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[24]	A low complexity map-aided Fuzzy Decision Tree for pedestrian indoor/outdoor navigation using smartphone
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[25]	Indoor Navigation System for the Blind and Vision Impaired: Using Kinect-Style Sensor and Real-Time Appearance Based Mapping
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[26]	基于 MENS-INS 的智能手机室内定位系统
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[27]	An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter
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[28]	HOOD: a Real Environment Human Odometry Dataset for Wearable Sensor Placement Analysis
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[29]	Feasibility of Software-Based Duty Cycling of GPS for Trajectory-Based Services
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[30]	基于航向角变化的趋势集合轨迹特征划分算法
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[31]	A Mobile MEMS-based Sensors System for Ubiquitous Personal Navigation
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[32]	A Floor-Map-Aided WiFi/Pseudo-Odometry Integration Algorithm for an Indoor Positioning System
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[33]	一种基于地图匹配辅助行人航位推算的室内定位方法
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[34]	Map Aided Indoor and Outdoor Navigation Applications
	NULL 2013

[1]	Indoor localization and trajectory correction with point cloud-derived backbone map International Journal of Applied Earth Observation and Geoinformation, 2024 DOI:10.1016/j.jag.2024.103783

[2]	A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking Remote Sensing, 2019 DOI:10.3390/rs11243052

[3]	A Random Forest Model for Travel Mode Identification Based on Mobile Phone Signaling Data Sustainability, 2019 DOI:10.3390/su11215950

[4]	A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking Remote Sensing, 2019 DOI:10.3390/rs11243052

[5]	A Random Forest Model for Travel Mode Identification Based on Mobile Phone Signaling Data Sustainability, 2019 DOI:10.3390/su11215950

[6]	A pedestrian tracking algorithm using grid-based indoor model Automation in Construction, 2018 DOI:10.1016/j.autcon.2018.03.031

[7]	Internet of Things Home Healthcare: The Feasibility of Elderly Activity Monitoring 2018 International Conference on Computational Science and Computational Intelligence (CSCI), 2018 DOI:10.1109/CSCI46756.2018.00179

[8]	Feasibility of software-based duty cycling of GPS for trajectory-based services 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2016 DOI:10.1109/CCNC.2016.7444725

[9]	A low complexity map-aided Fuzzy Decision Tree for pedestrian indoor/outdoor navigation using smartphone 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016 DOI:10.1109/IPIN.2016.7743640

[10]	An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter ISPRS International Journal of Geo-Information, 2015 DOI:10.3390/ijgi4042638

[11]	A Floor-Map-Aided WiFi/Pseudo-Odometry Integration Algorithm for an Indoor Positioning System Sensors, 2015 DOI:10.3390/s150407096

[12]	HOOD: A real environment Human Odometry Dataset for wearable sensor placement analysis 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015 DOI:10.1109/IROS.2015.7354067

[13]	An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter ISPRS International Journal of Geo-Information, 2015 DOI:10.3390/ijgi4042638

[14]	A Floor-Map-Aided WiFi/Pseudo-Odometry Integration Algorithm for an Indoor Positioning System Sensors, 2015 DOI:10.3390/s150407096

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	1655362766

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