Simultaneous Tracking and Shape Estimation of Extended Objects
This 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...
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Format: | Book Chapter |
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KIT Scientific Publishing
2013
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 01448naaaa2200277uu 4500 | ||
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001 | doab_20_500_12854_59406 | ||
005 | 20210212 | ||
020 | |a KSP/1000035959 | ||
020 | |a 9783731500780 | ||
024 | 7 | |a 10.5445/KSP/1000035959 |c doi | |
041 | 0 | |a English | |
042 | |a dc | ||
100 | 1 | |a Baum, Marcus |4 auth | |
245 | 1 | 0 | |a Simultaneous Tracking and Shape Estimation of Extended Objects |
260 | |b KIT Scientific Publishing |c 2013 | ||
300 | |a 1 electronic resource (XII, 162 p. p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This 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 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
546 | |a English | ||
653 | |a Tracking | ||
653 | |a shape estimation | ||
653 | |a nonlinear state estimation | ||
653 | |a extended objects | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731500780 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/59406 |7 0 |z DOAB: description of the publication |