A novel method is proposed to improve positioning real-time property while ensuring the
accuracy. Firstly, a dilated convolutional neural network (D-CNN) model is trained with …

Device-free localization based on WiFi Channel State Information (CSI) has attracted
considerable attention in recent years. Many of the schemes are learning-based, among …

Indoor localization has been an active research field for decades, due to its wide range of
applications. WiFi fingerprinting, which estimates the user's locations using pre-collecting …

Indoor localization is a key component of pervasive and mobile computing. Due to the
widespread use of WiFi technology, WiFi fingerprinting is one of the most widely utilized …

Many emerging applications, such as security surveillance and smart healthcare, have
incubated the device-free localization (DFL) technique, which could estimate the location of …

Machine Learning framework adds a new dimension to the localization estimation problem.
It tries to find the most likely position using processed features in a radio map. This paper …

Localization is of key importance to a variety of applications. Most previous approaches
require the objects to carry electronic devices, while on many occasions device-free …

With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …

We address the problem of indoor localization based on WiFi signal strengths. We develop a
semi-supervised deep learning method able to train a prediction model from a small set of …

With the increasing popularization and development of WiFi devices, nowadays WiFi‐based
indoor localization has become a hot topic. Traditional Wi‐Fi‐based localization …