It took less than 30 minutes to construct the fingerprinting DB based on the collected data, and the localization accuracy was less than 3 meters.
Very Fast Fingerprinting DB Construction for Precise Indoor Localization. T. Kim, J. Lee, B. Shin, C. Yu, H. Kyung, and T. Lee. ICEIC, page 1-4.
Very Fast Fingerprinting DB Construction for Precise Indoor Localization. ... RF signal shape reconstruction technology on the 2D space for indoor localization.
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RSS Signal Modeling-Based Rapid and Accurate Fingerprinting ...
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This paper proposes an RF signal modeling technology that can quickly and easily construct a fingerprinting database for Bluetooth beacon signals in indoors.
Missing: Fast DB Precise
This paper proposes an Adaptive expansion fingerprint database (AeFd) model based on a regression learning algorithm.
Dec 17, 2020 · We propose a new fingerprint construction algorithm to simplify visible light indoor position. This method can realize the rapid construction of a visible ...
Missing: DB | Show results with:DB
The Wi-Fi fingerprinting is one of the widely used methods for indoor positioning [18]. Generally, the fingerprinting approach consists of two stages: the ...
Jun 3, 2024 · SLAM collects Wi-Fi fingerprints by taking advantage of the simultaneous accurate positioning of the reference point and indoor mapping [21] .
Mar 1, 2023 · We propose a fast and accurate positioning algorithm using a deep neural network (DNN) to learn the distribution of available RSS samples instead of averaging ...
Missing: DB | Show results with:DB
The basic idea of the fingerprinting method is to match a database to a particular fingerprint in the area at hand. The method operates in two phases: the ...
Missing: DB | Show results with:DB