With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Energy-efficiency in target tracking applications has been extensively studied in the
literature of Wireless Sensor Networks (WSN). However, there is little work which has been …

Tracking maneuvering target in real time autonomously and accurately in an uncertain
environment is one of the challenging missions for unmanned aerial vehicles (UAVs). In this …

Solutions for indoor tracking and localization have become more critical with recent
advancement in context and location-aware technologies. The accuracy of explicit …

We present a novel method for predicting long-term target states based on mean-reverting
stochastic processes. We use the Ornstein-Uhlenbeck (OU) process, leading to a revised …

The prediction of surrounding agent trajectories in heterogeneous traffic environments
remains a challenging task for autonomous driving due to several critical issues, such as …

The interception problem of Hypersonic Gliding Vehicles (HGVs) has been an important
aspect of missile defense systems. In order to provide interceptors with accurate information …

Traffic route analysis and prediction are both essential for maritime security. Specifically, the
prediction of a vessel position is useful to provide alerts about upcoming events (eg …

In this paper, the distributed remote state estimation problem for conditional dynamic linear
systems in mobile sensor networks with an event-triggered mechanism is investigated. The …

The motion model plays a key role in tracking hypersonic gliding vehicles (HGVs). The
process noise covariance matrix is used to scale the errors of the motion model, and its …