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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.
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.
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Baum, M. 2013. Simultaneous Tracking and Shape Estimation of Extended Objects. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000035959
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Veröffentlicht am 30. September 2013
Englisch
186
| Paperback | 978-3-7315-0078-0 |