DocumentCode :
3564451
Title :
A generic sensor fusion architecture for enhancing situational awareness
Author :
Boddhu, Sanjay ; Flagg, Robert ; Grzebala, Pawel ; Bodduluri, Rahul ; Williams, Robert
Author_Institution :
Qbase LLC, Dayton, OH, USA
fYear :
2014
Firstpage :
143
Lastpage :
148
Abstract :
The advancements of mobile technology and its widespread availability have redefined many computing paradigms including Human-centric sensing. Human-centric sensing has already been successfully implemented as integrated network architecture component in many operational intelligent systems in various industry areas such as defense, healthcare, energy or disaster management. The process of integration of Human-centric sensing into the system can be lengthy and complicated because of disparate data formats, modality and connectivity interfaces. Extending an existing system by new, and possibly future, sensors may result in low-level integration issues. There is a need for a generic architecture that will be able to dynamically accommodate new sensors and to provide fusion of all sensed data. In this paper, we extend our previous work of developing an architecture that supports seamless integration and development of platforms to enhance situational awareness in the context of Human-centric sensing.
Keywords :
human factors; intelligent sensors; mobile computing; sensor fusion; data fusion; generic sensor fusion architecture; human-centric sensing; mobile technology; operational intelligent system; situational awareness enhancement; Collaboration; Computer architecture; Data visualization; Real-time systems; Sensors; Software; Surveillance; event collaboration architecture; mongodb; sensor fusion; situational awareness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, NAECON 2014 - IEEE National
Print_ISBN :
978-1-4799-4690-7
Type :
conf
DOI :
10.1109/NAECON.2014.7045792
Filename :
7045792
Link To Document :
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