Kalman Filter (KF) that is also known as linear quadratic estimation filter estimates current
states of a system through time as recursive using input measurements in mathematical …

With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

Recently, tracking-by-detection has become a popular paradigm in Multiple-object tracking
(MOT) for its concise pipeline. Many current works first associate the detections to form track …

Collaborative perception can substantially boost each agent's perception ability by
facilitating communication among multiple agents. However, temporal asynchrony among …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

The integration of data and knowledge from several sources is known as data fusion. This
paper summarizes the state of the data fusion field and describes the most relevant studies …

Ambient temperature is a significant factor that influences the accuracy of battery SOC
estimation, which is critical for remaining driving range prediction of electric vehicles (EVs) …

With the advent of the Internet of Everything, people can easily interact with their
environments immersively. The idea of pervasive computing is becoming a reality, but due to …

Electrification is an evolving paradigm shift in the transportation industry toward more
efficient, higher performance, safer, smarter, and more reliable vehicles. There is in fact a …