Multi-Censor Fusion using Observation Merging with Central Level Architecture

Dil Muhammad Akbar Hussain, Zaki Ahmed, M. Z. Khan, Andrea Valente

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

The use of multiple sensors typically requires the fusion of data from different type of sensors. The combined use of such a data has the potential to give an efficient, high quality and reliable estimation. Input data from different sensors allows the introduction of target attributes (target type, size) into the association logic. This requires a more general association logic, in which both the physical position parameters and the target attributes can be used simultaneously. Although, the data fusion from a number of sensors could provide better and reliable estimation but abundance of information is to be handled. Therefore, more extensive computer resources are needed for such a system. The parallel processing technique could be an alternative for such a system. The main objective of this research is to provide a real time task allocation strategy for data processing using multiple processing units for same type of multiple
sensors, typically radar in our case.
OriginalsprogEngelsk
TitelProceedings of the International MultiConference on Engineers and Computer Scientists, IMECS 2011
RedaktørerS. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, Jeong-A Lee
Antal sider4
Vol/bindVolume II
Udgivelses stedHong Kong
ForlagNewswood Limited, International Association of Engineers, IAENG
Publikationsdato16. mar. 2011
Sider787-790
ISBN (Trykt)978-988-19251-2-1
StatusUdgivet - 16. mar. 2011
Udgivet eksterntJa

Fingeraftryk

Merging
Sensors
Data fusion
Processing
Radar

Citer dette

Hussain, D. M. A., Ahmed, Z., Khan, M. Z., & Valente, A. (2011). Multi-Censor Fusion using Observation Merging with Central Level Architecture. I S. I. Ao, O. Castillo, C. Douglas, D. D. Feng, & J-A. Lee (red.), Proceedings of the International MultiConference on Engineers and Computer Scientists, IMECS 2011 (Bind Volume II, s. 787-790). Hong Kong: Newswood Limited, International Association of Engineers, IAENG.
Hussain, Dil Muhammad Akbar ; Ahmed, Zaki ; Khan, M. Z. ; Valente, Andrea. / Multi-Censor Fusion using Observation Merging with Central Level Architecture. Proceedings of the International MultiConference on Engineers and Computer Scientists, IMECS 2011. red. / S. I. Ao ; Oscar Castillo ; Craig Douglas ; David Dagan Feng ; Jeong-A Lee. Bind Volume II Hong Kong : Newswood Limited, International Association of Engineers, IAENG, 2011. s. 787-790
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Hussain, DMA, Ahmed, Z, Khan, MZ & Valente, A 2011, Multi-Censor Fusion using Observation Merging with Central Level Architecture. i SI Ao, O Castillo, C Douglas, DD Feng & J-A Lee (red), Proceedings of the International MultiConference on Engineers and Computer Scientists, IMECS 2011. bind Volume II, Newswood Limited, International Association of Engineers, IAENG, Hong Kong, s. 787-790.

Multi-Censor Fusion using Observation Merging with Central Level Architecture. / Hussain, Dil Muhammad Akbar; Ahmed, Zaki; Khan, M. Z.; Valente, Andrea.

Proceedings of the International MultiConference on Engineers and Computer Scientists, IMECS 2011. red. / S. I. Ao; Oscar Castillo; Craig Douglas; David Dagan Feng; Jeong-A Lee. Bind Volume II Hong Kong : Newswood Limited, International Association of Engineers, IAENG, 2011. s. 787-790.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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Hussain DMA, Ahmed Z, Khan MZ, Valente A. Multi-Censor Fusion using Observation Merging with Central Level Architecture. I Ao SI, Castillo O, Douglas C, Feng DD, Lee J-A, red., Proceedings of the International MultiConference on Engineers and Computer Scientists, IMECS 2011. Bind Volume II. Hong Kong: Newswood Limited, International Association of Engineers, IAENG. 2011. s. 787-790