000 01536naaaa2200289uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/59406
005 20220220101019.0
020 _aKSP/1000035959
020 _a9783731500780
024 7 _a10.5445/KSP/1000035959
_cdoi
041 0 _aEnglish
042 _adc
100 1 _aBaum, Marcus
_4auth
245 1 0 _aSimultaneous Tracking and Shape Estimation of Extended Objects
260 _bKIT Scientific Publishing
_c2013
300 _a1 electronic resource (XII, 162 p. p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aThis work is concerned with the simultaneous tracking and shape estimation of a mobile extended object based on noisy sensor measurements. Novel methods are developed for coping with the following two main challenges: i) The computational complexity due to the nonlinearity and high-dimensionality of the problem and ii) the lack of statistical knowledge about possible measurement sources on the extended object.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by-sa/4.0/
_2cc
_4https://creativecommons.org/licenses/by-sa/4.0/
546 _aEnglish
653 _aTracking
653 _ashape estimation
653 _anonlinear state estimation
653 _aextended objects
856 4 0 _awww.oapen.org
_uhttps://www.ksp.kit.edu/9783731500780
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/59406
_70
_zDOAB: description of the publication
999 _c80499
_d80499