| 000 | 01846naaaa2200349uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/62761 | ||
| 005 | 20220220065057.0 | ||
| 020 | _aKSP/1000051065 | ||
| 020 | _a9783731504603 | ||
| 024 | 7 |
_a10.5445/KSP/1000051065 _cdoi |
|
| 041 | 0 | _aGerman | |
| 042 | _adc | ||
| 100 | 1 |
_aFischer, Yvonne _4auth |
|
| 245 | 1 | 0 | _aWissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung |
| 260 |
_bKIT Scientific Publishing _c2016 |
||
| 300 | _a1 electronic resource (XVI, 217 p. p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aIn today’s surveillance systems, a multitude of sensors are used. Thus, the data volume is clearly increasing and the human decision maker has to be supported in analyzing this data in an intelligent way. This contribution deals with the process of situation assessment, which is analyzing real-time data with respect to pre-modeled situations of interest with a dynamic Bayesian network. The quality of the recognition is evaluated with a maritime dataset. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-sa/4.0/ _2cc _4https://creativecommons.org/licenses/by-sa/4.0/ |
||
| 546 | _aGerman | ||
| 653 | _adata fusion | ||
| 653 | _adynamic Bayesian networks | ||
| 653 | _aSituationsbewusstseinSituation assessment | ||
| 653 | _amaritime surveillance | ||
| 653 | _amaritime Überwachung | ||
| 653 | _aSituationsanalyse | ||
| 653 | _aDatenfusion | ||
| 653 | _asituation awareness | ||
| 653 | _adynamische Bayes’sche Netze | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://www.ksp.kit.edu/9783731504603 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/62761 _70 _zDOAB: description of the publication |
| 999 |
_c71623 _d71623 |
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