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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Bibliographic Details
Main Author: Baum, Marcus (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2013
Subjects:
Online Access:Get Fullteks
DOAB: description of the publication
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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 
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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