There is significant motivation to develop reduced-complexity filtering algorithms (with explicit performance bounds) for tracking maneuvering targets. Maneuvering target estimation is an important problem in target tracking due to the uncertainty in maneuvers of the target. In a hostile environment a target will try to avoid being tracked by maneuvering in such a way so that its motion is diff...

Many applications of computer vision require interpreting incomplete or noisy image data in environments where complete models are impractical. This paper presents a unified representation for image understanding that includes generic models of both objects and sensors. This representation is ideal for combining knowledge from multiple sources, taking advantage of available information without ...

In order to identify more accurate finite element (FE) model parameters for an as-built structure, experimental data collected from the actual structure can be used to update the parameter values. In practice, experimental data is inevitably contaminated with measurement noise, which may lead to inaccurate FE model updating. This research compares the performance of two model updating approache...