This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

Radar and camera information fusion sensing methods are used to solve the inherent
shortcomings of the single sensor in severe weather. Our fusion scheme uses radar as the …

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 …

In previous chapters, we saw many applied time series problems that involved relating
series to each other or to evaluating the effects of treatments or design parameters that arise …

An algorithm for tracking multiple targets in a cluttered enviroment is developed. The
algorithm is capable of initiating tracks, accounting for false or missing reports, and …

Multisensor data fusion is an emerging technology applied to Department of Defense (DoD)
areas such as automated target recognition, battlefield surveillance, and guidance and …

The ability to localize and track acoustic events is a fundamental prerequisite for equip**
machines with the ability to be aware of and engage with humans in their surrounding …

The prominence of finite mixture modelling is greater than ever. Many important statistical
topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity …

The problem of associating data with targets in a cluttered multi-target environment is
discussed and applied to passive sonar tracking. The probabilistic data association (PDA) …