In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be
independently used to provide accurate indoor positioning results. However, the accuracy of …

The growing interest in the use of IoT technologies has generated the development of
numerous and diverse applications. Many of the services provided by the applications are …

Image-based relocalization is a renewed interest in outdoor environments, because it is an
important problem with many applications. PoseNet introduces Convolutional Neural …

We report a 3-year city-wide study of an operational indoor sensing system based on
Bluetooth Low Energy (BLE) called aBeacon (short for a libaba Beacon). aBeacon is pilot …

Indoor location-based services (LBS) have exhibited large commercial and social values in
smart cities, and urgent demands of which have spurred many localization techniques …

The traditional wireless signals used for positioning, such as Wi-Fi and Bluetooth, are not
stable enough for accurate indoor positioning due to the wireless signal multipath and time …

Many applications in the context of Industry 4.0 require precise localization. However, indoor
localization remains an open problem, especially in complex environments such as …

With the increasing demand for location‐based services such as railway stations, airports,
and shop** malls, indoor positioning technology has become one of the most attractive …

With the growing demand for location-based services, fingerprint has become a hot topic in
the area of Internet of Things (IoT). However, the performance of fingerprinting-based indoor …