Performance Evaluation of Multisensor Architectures for Tracking

Abstract : In recent years the development of distributed fusion systems for real-world services (tracking, surveillance...) has remarked the importance of good design choices for both logical and physical architecture. The main objective of this paper is to implement a model of a distributed fusion architecture in order to evaluate the overall performance as well as the interactions of its subparts. The advantage of the proposed architecture analysis method are: 1) to allow quantitative comparison of different fusion structures through the evaluation of performance metrics and 2) to validate the algorithms involved as well as the physical structure (communication links, computational load...). Finally example structures are compared in order to find the best solution to some benchmark problems.
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Communication dans un congrès
Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008
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Stefano Maludrottu, Alessio Dore, Hany Sallam, Carlo S. Regazzoni. Performance Evaluation of Multisensor Architectures for Tracking. Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008. 〈inria-00326760〉

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