Multisensor fusion for linear control systems with asynchronous, Out-Of-Sequence and erroneous data

Multisensor Data Fusion for Skill Transfer Systems

Rui Cortes~ ao Ralf Koeppe University of Coimbra German Aerospa e Center, (DLR) Ele tri al Engineering Department Institute of Roboti s and System Dynami s Institute of Systems and Roboti s, (ISR) P.O. Box 1116 3030 Coimbra 82230 Wessling Portugal Germany email: ortesao isr.u .pt email: Ralf.Koeppe dlr.de Abstra t The paper des ribes the design of a data fusion module for skill transfer purpose...

A Data Fusion Algorithm for Multisensor Systems

Data fusion techniques are used in many tracking and surveillance systems as well as in applications where reliability is of a main concern. One solution for design of such systems is to employ a number of sensors (maybe of different types) and to fuse the information obtained from all these sensors on a central processor. Past attempts to solve this problem required an organization of a feedba...

Optimal Linear Estimation Fusion for Multisensor Dynamic Systems

In this paper, we first present a general data model for discretized asynchronous multisensor systems and show that errors in the data model are correlated across sensors and with the state. This coupling renders most existing “optimal” linear fusion rules suboptimal. While our fusion rules presented in [16, 15] are valid and optimal for this general model, we propose a general, exact technique...

Multisensor Data Fusion

Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems

Multisensor data fusion and integration is a rapidly evolving research area that requires interdisciplinary knowledge in control theory, signal processing, artificial intelligence, probability and statistics, etc. Multisensor data fusion refers to the synergistic combination of sensory data from multiple sensors and related information to provide more reliable and accurate information than coul...