postuloca:bayesian
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postuloca:bayesian [2013-03-29 10:51] – pietro | postuloca:bayesian [2013-04-24 08:20] (current) – pietro | ||
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In the following table, the Localizzation Error is misured by the bayesian approach by the a-posteriori probability density, based on a gaussian model. | In the following table, the Localizzation Error is misured by the bayesian approach by the a-posteriori probability density, based on a gaussian model. | ||
- | The results in the the first row of the table are about the schenario in which we assume that also the cells in the middle in the room, where the sensors are locate, can be crossed. The results in the the second row show the result about the scenario where we assume that the cells can not be crossed. | + | The results in the the first row of the table are about the schenario in which we assume that also the cells in the middle in the room, where the sensors are placed, can be crossed. The results in the the second row show the result about the scenario where we assume that the cells can not be crossed. |
^ Scenario ^ Parameters ^ Anchor positions ^ Error Distribution ^ Metrics ^ Notes and video ^ | ^ Scenario ^ Parameters ^ Anchor positions ^ Error Distribution ^ Metrics ^ Notes and video ^ | ||
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==== Scenario Pat_2 ==== | ==== Scenario Pat_2 ==== | ||
- | IIn the following table, the Localizzation Error is misured by the bayesian approach by the a-posteriori probability density, based on a gaussian model. | + | In the following table, the Localizzation Error is misured by the bayesian approach by the a-posteriori probability density, based on a gaussian model. |
^ Scenario ^ Parameters ^ Anchor positions ^ Error Distribution ^ Metrics ^ Notes and video ^ | ^ Scenario ^ Parameters ^ Anchor positions ^ Error Distribution ^ Metrics ^ Notes and video ^ | ||
- | ^ Pat_2 | // | + | ^ Pat_2 | // |
postuloca/bayesian.1364554314.txt.gz · Last modified: 2013-03-29 10:51 by pietro