"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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[11] A mapping method in uneven terrain based on hand-held laser scanning and PDR
[12] Smartphone assisted pedestrian localization within buildings
[13] Pedestrian Indoor Positioning and Tracking using Smartphone Sensors, Step Detection and Map Matching Algorithm
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[14] Pozicioniranje i praćenje pješaka u zatvorenom prostoru koristeći senzore pametnih telefona, otkrivanje koraka i algoritam za geokodiranje
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[15] A low complexity map-aided Fuzzy Decision Tree for pedestrian indoor/outdoor navigation using smartphone
[16] Indoor Navigation System for the Blind and Vision Impaired: Using Kinect-Style Sensor and Real-Time Appearance Based Mapping
[17] 基于 MENS-INS 的智能手机室内定位系统
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[18] An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter
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[19] HOOD: a Real Environment Human Odometry Dataset for Wearable Sensor Placement Analysis
[20] Feasibility of Software-Based Duty Cycling of GPS for Trajectory-Based Services
[21] 基于航向角变化的趋势集合轨迹特征划分算法
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[22] A Mobile MEMS-based Sensors System for Ubiquitous Personal Navigation
[23] A Floor-Map-Aided WiFi/Pseudo-Odometry Integration Algorithm for an Indoor Positioning System
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[24] 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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[25] Map Aided Indoor and Outdoor Navigation Applications
[26] Heading Angle Estimation based on Peak Prominence Detection for PDR localization