Bayesian approach to multisensor data fusion with pre - and post - filtering / Waleed Ashraf Saad Abdulhafiz ; Supervised Alaa Khamis
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TextLanguage: English Publication details: Cairo : Waleed Ashraf Saad Abdulhafiz , 2012Description: 84 Leaves : photographs ; 30cmOnline resources: Dissertation note: Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Mechatronics Engineering Summary: Data provided by sensors is always affected by some level of uncertainty or lack of certainty in the measurements. These uncertainties could be due to limited range or resolution of sensors or due to sensors being subjected to noise. Combining data from several sources using multisensor data fusion algorithms exploits the data redundancy to reduce these uncertainties
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Thesis
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قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2012.Wa.B (Browse shelf(Opens below)) | Not for loan | 01010110063654000 |
Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Mechatronics Engineering
Data provided by sensors is always affected by some level of uncertainty or lack of certainty in the measurements. These uncertainties could be due to limited range or resolution of sensors or due to sensors being subjected to noise. Combining data from several sources using multisensor data fusion algorithms exploits the data redundancy to reduce these uncertainties
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