Die Arbeit handelt von der Kombination des Unscented Kalman-Filters mit den Methoden der Dezentralisierung, Verteilung und Fusion. Zu Anfang werden die allgemeinen Grundlagen der optimalen Zustandsschätzung für das lineare Filter hergeleitet. Aus diesen Betrachtungen, die auch mit Blick auf...

Gerhard Schall overviews research activities related to mobile augmented reality in indoor as well as outdoor environments. These activities have emerged over several years, especially around the topics of positioning, sensor fusion, spatial modelling as well as in the fields of ubiquitous...

This paper proposes and studies an implementation of the bootstrap stochastic simulation approach for estimating a hybrid system – the bootstrap multiple model (BMM) algorithm. The BMM filter is applied to tracking maneuvering target. The tracking capabilities of the filter are demonstrated by...

Purpose – The purpose of this paper is to explore a novel control approach for swift and accurate positioning and tracking of a mobile robot. Coordinated movement of the mobile robot-body and chameleon-inspired binocular “negative correlation” visual system (CIBNCVS) with neck has rarely...

Ortner et al. (Manage. Account. Res. 36(1):43-50, 2017) propose the State-Contingent Relative Benefit Cost Allocation Scheme as an incentive system for risky investment decisions. The note at hand reveals the information distribution implicitly assumed within the framework of this study. Based...

Purpose: The purpose of this paper is to investigate the relationship between multi-criteria performance measurement (MCPM) practice and business performance improvement using the raw data collected from 33 selected manufacturing companies. In addition, it proposes modified MCPM model as an...

This paper examines the change in operating and financial performance of Swedish firms that were either partly or fully privatized during the period of 1989-2007. Two different methods are used to empirically investigate the performance of privatized firms. First, accounting data prior to and...