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--- postuloca:bayesian [2013-03-26 12:16] – pietro
+++ postuloca:bayesian [2013-04-24 08:20] (current) – pietro
@@ Line 3: / Line 3: @@
 ==== Scenario C40 ====
-In the following table, the VRTI dist. Error is the locallization error misured by the only Maximum Variance Image estimation,instead, Kalman dist. Error is the locallization error misured supporting the VRTI algorithm by the Kalman filter. Noise and No-Noise are the localization errors measured changing the parameters to calculate the weights of the regularization matrix.
+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 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 ^ VRTI error dist. Noise/No-Noise . ^ KALMAN error dist. Noise/No-Noise ^ Metrics VRTI / KALMAN ^ Notes and video ^
+^ Scenario ^ Parameters ^ Anchor positions ^ Error Distribution ^ Metrics ^ Notes and video ^
-^ C 40     | //area//: 6.4 X 4.5 [m]\\ //anchors//: 25\\ //speed//: 0.5[step/s]\\ //channels//: 1\\ //origin//: WnLab | {{:postuloca:c40_anchors.jpg?200|}}| {{:postuloca:c40_error_mdf.jpg?200}} | {{:postuloca:error_dist_c40.jpg?200|}}| RMSE: 1.595 [m] / 1.588 [m]\\ 75<sup>th</sup> pc: 1.946 [m]  / 1.933 [m] \\ 90<sup>th</sup> pc: 2.668 [m] / 2.624 [m] | Error with noise model in [0.8, 1] m.\\ Error without Noise model in [0.4, 2] m.\\ No improvement from tracking.\\ {{:postuloca:pat2_28sen_1p_1sec.avi|video}} |
+^ C 40     | //area//: 6.4 X 4.5 [m]\\ //anchors//: 25\\ //speed//: 0.5[step/s]\\ //channels//: 1\\ //origin//: WnLab | {{:postuloca:c40_anchors.jpg?200|}}|{{:postuloca:err_dist_bayesian_c40.jpg?200|}} | RMSE: 0.867 [m]\\ 75<sup>th</sup> pc: 0.881 [m] \\ 90<sup>th</sup> pc: 1.225 [m] | Error distribution in [0.8, 1] m.\\ {{:postuloca:c40_25sen_1p_1sec.avi|}} |
+^:::|:::|:::|{{:postuloca:err_dist_bayesian_c40_prob_loc2.jpg?200|}}| RMSE: 0.77 [m]\\ 75<sup>th</sup> pc: 0.904 [m] \\ 90<sup>th</sup> pc: 1.1 [m] | Error distribution in [0.5, 0.75] m.\\ {{:postuloca:c40_25sen_1p_1sec.avi|}} |
+==== Scenario Pat_2 ====
+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 ^
+^ Pat_2     | //area//: 6.5 X 4.5 [m]\\ //anchors//: 28\\ //speed//: 1[step/s]\\ //channels//: 1\\ //origin//: SPAN Lab | {{:postuloca:pat_2_anchors.jpg?200|}}|{{:postuloca:err_dist_bayesian_pat_2.jpg?200|}}| RMSE: 3.88 [m]\\ 75<sup>th</sup> pc: 4.700 [m] \\ 90<sup>th</sup> pc: 5.800 [m] | Error distribution in [1.2, 5.5] m.\\ {{:postuloca:pat_2_28sen_1p_1sec.avi|}} |