000 02587nam a22004935i 4500
001 978-3-031-01528-1
003 DE-He213
005 20240730164329.0
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008 220601s2019 sz | s |||| 0|eng d
020 _a9783031015281
_9978-3-031-01528-1
024 7 _a10.1007/978-3-031-01528-1
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC067000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621,382
_223
100 1 _aKyriakides, Ioannis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983962
245 1 0 _aCognitive Fusion for Target Tracking
_h[electronic resource] /
_cby Ioannis Kyriakides.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aVIII, 57 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aSignal processing.
_94052
650 1 4 _aSignal, Speech and Image Processing.
_931566
710 2 _aSpringerLink (Online service)
_983964
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000164
776 0 8 _iPrinted edition:
_z9783031004001
776 0 8 _iPrinted edition:
_z9783031026560
830 0 _aSynthesis Lectures on Algorithms and Software in Engineering,
_x1938-1735
_983965
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01528-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c85592
_d85592