A Hybrid Indoor Positioning System Using a Linear Weighted Policy Learner and Iterative PDR

Volume: 8, Pages: 43630 - 43656
Published: Jan 1, 2020
Abstract
Electronic indoor positioning systems deal with the combination of sensors, actuators, and computational algorithms for precisely locating subjects, delivering navigation directives, and keeping track of particular objects. The main factors considered for the construction and evaluation of these systems are the localization accuracy and the time spent to calculate and deliver this information. The challenge in developing successful positioning...
Paper Details
Title
A Hybrid Indoor Positioning System Using a Linear Weighted Policy Learner and Iterative PDR
Published Date
Jan 1, 2020
Volume
8
Pages
43630 - 43656
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