Bayesian approach to multisensor data fusion with pre - and post - filtering / Waleed Ashraf Saad Abdulhafiz ; Supervised Alaa Khamis

By:

Waleed Ashraf Saad Abdulhafiz

Contributor(s):

Alaa Khamis []

Material type: Text

TextLanguage: English Publication details: Cairo : Waleed Ashraf Saad Abdulhafiz , 2012Description: 84 Leaves : photographs ; 30cmOnline resources:

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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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Item type	Current library	Home library	Call number	Status	Barcode
Thesis	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

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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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