Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing
steadily due to their potential to improve on the performance of their non-collaborative …

Accurate localization is crucial in the navigation of mobile robots. However, in other
circumstances, single-sensor localization faces different challenges, including software and …

The localization of unmanned aerial vehicles (UAVs) in GPS-denied areas is an essential
issue for indoor navigation. This paper presents a technique to improve the accuracy of …

For years, vehicle trajectory data have increasingly been important for a wide range of
applications, from driver behavior investigation/classification, travel time/distance estimation …

Even though the Convolutional Neural Networks (CNN) has shown superior results in the
field of computer vision, it is still a challenging task to implement computer vision algorithms …

Precise positioning is fundamental to the Internet of Things (IoT) that delivers insights into
everything from large-scale business to ordinary smart life. Accurate localization and …

Inadequate training poses a significant risk of injury among young firefighters. Although
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …

Indoor positioning has attracted many attentions in recent years. Wi-Fi, geomagnetic and
inertial sensors are commonly used sources to reconstruct pedestrian's trajectory. But the …

Relative localization between autonomous robots without infrastructure is crucial to achieve
their navigation, path planning, and formation in many applications, such as emergency …

A multitude of individual unmanned aerial vehicle (UAV) cooperatively self-organized as a
swarm attracts increasing attention for exploration and parallel tasks. Accurate position is …