Sensors for Indoor Mapping and Navigation
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/16/5/655/pdf
Reference52 articles.
1. Integrated WiFi/PDR/Smartphone Using an Unscented Kalman Filter Algorithm for 3D Indoor Localization
2. Heading Estimation for Indoor Pedestrian Navigation Using a Smartphone in the Pocket
3. Inertial Pocket Navigation System: Unaided 3D Positioning
4. Magnetic, Acceleration Fields and Gyroscope Quaternion (MAGYQ)-Based Attitude Estimation with Smartphone Sensors for Indoor Pedestrian Navigation
5. A Robust Method to Detect Zero Velocity for Improved 3D Personal Navigation Using Inertial Sensors
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