Abstract
This chapter describes a method and an algorithm for combining symbolic and numerical information for data fusion in a tracking application. In recent years, the synergetic use of multiple sensors has received a great deal of attention. The major benefits of such use are an increase in the ability to analyse complex situations and an improved robustness of the fusion process in a cluttered environment. Military command and control, battlefields management, mobile robot navigation, and multitarget tracking are all typical applications that can benefit from the use of multiple sensors. Therefore, both the integration and the fusion of information, provided by multiple sensors, appear to be fields of growing interest.
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© 2002 Springer Science+Business Media Dordrecht
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Nimier, V. (2002). Soft Sensor Management for Multisensor Tracking Algorithm. In: Hyder, A.K., Shahbazian, E., Waltz, E. (eds) Multisensor Fusion. NATO Science Series, vol 70. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0556-2_15
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DOI: https://doi.org/10.1007/978-94-010-0556-2_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-0723-1
Online ISBN: 978-94-010-0556-2
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