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Browsing by Author "Blasch, E"

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A comparative cepstral based analysis of simulated and measured S-band and X-band radar Doppler spectra of human motion

Author: Van Eeden, WD ; De Villiers, JP ; Nel, Willem AJ ; Kloke, KH ; Blasch, E Date: Oct 2015 A simulation for human Doppler response is developed based on the Carnegie Mellon University motion capture database. This data is used to simulate human Doppler response as it would be seen by a radar system and this data is compared to ... Read more
Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria

Author: De Villiers, Johan P ; Focke, Richard W ; Pavlin, G ; Jousselme, A-L ; Dragos, V ; Laskey, KB ; Costa, PC ; Blasch, E Date: Aug 2017 The International Society of Information Fusion (ISIF) Evaluation Techniques for Uncertainty Representation Working Group (ETURWG) investigates the quantification and evaluation of all types of uncertainty regarding the inputs, reasoning and ... Read more
Pragmatic data fusion uncertainty concerns: Tribute to Dave L. Hall

Author: Blasch, E ; Costa, PCG ; De Villiers, J Pieter ; Laskey, KB ; Llinas, J ; Jousselme, A-L Date: Jul 2016 Over the course of Dave Hall's career, he highlighted various concerns associated with the implementation of data fusion methods. Many of the issues included the role of uncertainty in data fusion, practical implementation of sensor fusion ... Read more
Uncertainty evaluation of data and information fusion within the context of the decision loop

Author: De Villiers, J Pieter ; Jousselme, A-L ; De Waal, A ; Pavlink, G ; Laskeyz, K ; Blasch, E ; Costa, P Date: Jul 2016 In this paper, the principle taxonomy of the fusion process, the decision loop, is unified with uncertainty quantification and representation. A typical flow of information in the decision loop takes the form of raw information, uncertainty ... Read more
Uncertainty representation, quantification and evaluation for data and information fusion

Author: De Villiers, Johan P ; Laskey, K ; Jousselme, A-L ; Blasch, E ; Pavlin, G ; Costa, P Date: Jul 2015 Mathematical and uncertainty modelling is an important component of data fusion (the fusion of unprocessed sensor data) and information fusion (the fusion of processed or interpreted data). If uncertainties in the modelling process are not ... Read more

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Browsing by Author "Blasch, E"

Browsing by Author "Blasch, E"

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