In most of the existing state estimation algorithms for maneuvering target tracking, the
formulation of the mode switching process fails to accurately capture the deterministic law …

Die Gestaltung der Systemarchitektur zur Sensordatenfusion zu Beginn des
Entwickungsprozesses beeinlusst die entstehenden Kosten massgeblich. In der Arbeit …

This paper constructs a nonlinear iterative filtering framework based on a neural network
prediction model. It uses recurrent neural networks (RNNs) to achieve accurate regression …

There are some issues with multi–objective estimation of distribution algorithms (MOEDAs)
that have been undermining their performance when dealing with problems with many …

This article presents the development of a ball localization and tracking algorithm, that is to
be applied in a highly dynamic table soccer environment. The described approach is based …

This paper presents a new approach for off-line trajectory reconstruction in air traffic control
domain. The proposed algorithm, called model-based reconstruction, performs an accurate …

Perceiving the surrounding multiple vehicles robustly and effectively is a very important step
in building Advanced Driving Assistant System (ADAS) or autonomous vehicles. This thesis …

The extension of estimation of distribution algorithms (EDAs) to the multi-objective domain
has led to multi-objective optimization EDAs (MOEDAs). Most MOEDAs have limited …

This paper proposes an interacting multi-model (IMM) tracking algorithm based on the
adaptive Markov transition probability matrix, which can be utilized in radar systems for …

In this paper, a novel interacting multiple model (IMM) algorithm is proposed, which utilizes a
multi-sensor optimal information fusion rule to combine multiple models in the linear …