With the recent surge in autonomous driving vehicles, the need for accurate vehicle
detection and tracking is critical now more than ever. Detecting vehicles from visual sensors …

Over the last decade there has been a technological explosion of advanced, digital, solid
state, software controlled, and low size, weight, power and cost (SWaPC) sensors and …

Data fusion from a variety of sources requires alignment, association, and analysis. One
method to determine the relationship between two variables measuring the same …

Mobile Edge Computing (MEC) is a key technology to support the emerging low-latency
Internet of Things (IoT) applications. With computing servers deployed at the network edge …

With the continuous promotion of 5G technology application in the electric power industry,
how to realize the viewable, manageable and controllable power 5G virtual private network …

Automatic Target Recognition (ATR) seeks to improve upon techniques from signal
processing, pattern recognition (PR), and information fusion. Currently, there is interest to …

Deep learning-based models have made significant contributions to many fields in recent
years but lack robust explainability in their decision making and interpretability in their …

In a cognitive reasoning system, the four-stage Observe-Orient-Decision-Act (OODA)
reasoning loop is of interest. The OODA loop is essential for the situational awareness …

In our recent work, we developed a new joint-sparse data-level fusion (JSDLF) approach to
integrate heterogeneous sensor data for target discovery. In the approach, the target state …

There is no one display device or software package that is ideally suited for interactively
visualizing related nonspatial, 1D, 2D, 3D, and 4D datasets. This is a major drawback, as the …