With the expansion of Intelligent Transport Systems (ITS) in smart cities, the shared bicycle
has developed quickly as a new green public transportation mode, and is changing the …

This study proposes a mobile positioning method that adopts recurrent neural network
algorithms to analyze the received signal strength indications from heterogeneous networks …

Real-time, accurate, and robust positioning system plays a crucial role in many vehicular
applications for automatic driving system and Vehicular Ad-hoc Network (VANET). In the …

With the prosperity of artificial intelligence, more and more jobs will be replaced by robots.
The future of precision agriculture (PA) will rely on autonomous robots to perform various …

To provide high-precision positioning for Internet of Things (IoT) scenarios, we optimize the
indoor positioning technique based on Ultra-Wideband (UWB) Time Difference of Arrival …

The improved rooting subspace data fusion (IR-SDF) method of non-Gaussian (NG) sources
for sensors with augmented coprime arrays (SACA) is introduced into the direct position …

Indoor pedestrian positioning has been widely used in many scenarios, such as fire rescue
and indoor path planning. Compared with other technologies, inertial measurement unit …

Motivated by the emergence of the Internet of Things (IoT), and by the importance that
location information has on many complex systems scenarios, we propose a hybrid scheme …

This research investigates four switched-beam multi-element circular array antenna
schemes operating at 2.4-2.5 GHz for two-dimensional (2D) single-anchor indoor …

Mobile network data has been proven to provide a rich source of information in multiple
statistical domains such as demography, tourism, urban planning, etc. However, the …