In this paper, we proposed an ultra-wideband fingerprinting positioning method based on a convolutional neural network (CNN), and we collect the dataset in a ...
In this paper, we proposed an ultra-wideband fingerprinting positioning method based on a convolutional neural network (CNN), and we collect the dataset in a ...
This paper presents a novel method for fingerprint ROI (region of interest) segmentation using Deep learning technique — Convolutional Neural Networks.
This study proposes a novel indoor localization model that utilizes fingerprinting technology based on a convolutional neural network to address this issue.
This paper proposes an indoor positioning method, which is constructed based on a convolutional neural network (CNN) framework. Specifically, a novel model by ...
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What is the fingerprinting method of indoor positioning?
What is WiFi fingerprinting?
Zhang and Man (2018) proposed a Convolutional Neural Network (CNN) based architecture for Wi-Fi fingerprint positioning. The proposed CNN-based architecture ...
Dec 6, 2022 · Meanwhile, to strengthen indoor positioning precision, a fingerprints algorithm based on a convolution neural network (CNN) is often used.
Abstract. With the widely applied of LBS (Location Based Service), a high standard of indoor positioning technology is required.
We use two deep learning network models, the long short-term memory (LSTM) network and deep neural network (DNN), to analyze five different UWB signal features.
Dec 6, 2021 · A novel convolutional neural network based indoor localization framework with WiFi fingerprinting. IEEE Access, 7, 110698–110709. https ...