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020 _a9783031015281
024 7 _a10.1007/978-3-031-01528-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK6580
_b2019 EB
100 1 _aKyriakides, Ioannis
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686555
245 1 0 _aCognitive Fusion for Target Tracking
_cby Ioannis Kyriakides
250 _a1st edition 2019
264 1 _aCham
_bSpringer International Publishing
_c2019
300 _a1 recurso en línea (VIII, 57 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Algorithms and Software in Engineering
_x1938-1735
505 0 _aIntroduction -- Cognitive Fusion -- Cognitive Fusion for Target Tracking with Foveal and Radar Nodes -- Conclusions -- Bibliography -- Author's Biography.
520 _aThe adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.
988 _aSynthesis Collection of Technology_2019
650 7 _2embne
_9139959
_aRadar
650 7 _2embne
_9441179
_aRedes de sensores inalámbricas
776 0 8 _iPrinted edition:
_z9783031000164
776 0 8 _iPrinted edition:
_z9783031004001
776 0 8 _iPrinted edition:
_z9783031026560
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01528-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2023
_dz
_eIG
_zSI