More and more satellites are populating the sky nowadays in the Low Earth orbits (LEO).
Most of the targeted applications are related to broadband and narrowband …

Indoor localization has recently witnessed an increase in interest, due to the potential wide
range of services it can provide by leveraging Internet of Things (IoT), and ubiquitous …

Kalman filter (KF) based methods for multi-object tracking (MOT) make an assumption that
objects move linearly. While this assumption is acceptable for very short periods of …

We propose an online tracking algorithm that performs the object detection and data
association under a common framework, capable of linking objects after a long time span …

Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …

Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

In the very near future, transportation will go through a transitional period that will shape the
industry beyond recognition. Smart vehicles have played a significant role in the …

In the context of Industry 4.0, smart factories use advanced sensing and data analytic
technologies to understand and monitor the manufacturing processes. To enhance …

The particle filter was popularized in the early 1990s and has been used for solving
estimation problems ever since. The standard algorithm can be understood and …

In this study, we propose a novel RGB-T tracking framework by jointly modeling both
appearance and motion cues. First, to obtain a robust appearance model, we develop a …