Motivation
To a degree never known before, human decision mak-
ers or decision making systems have access to a vast
amount of data. Therefore, real-time data streams must
not overwhelm the actors involved. On the contrary, the
data are to be fused to high-quality information to provide
a reliable decision support. Being a challenging exploita-
tion technology at the common interface between sensors,
command & control systems, data and information fusion
has a large potential for future security and ISR systems
in defence and civilian applications.
Scope
Sensor Data Fusion techniques provide higher-level in-
formation from multiple sensor data by spatio-temporal
data integration, the exploitation of redundant and com-
plementary information, and the available context. Im-
portant applications exist in logistics, advanced driver as-
sistance systems, medical care, public security, defence,
aerospace, robotics, industrial production, precision agri-
culture, trac monitoring.


Key Aspects
Distributed sensor fusion in complex scenarios
Fusion of heterogeneous sensor information
Exploitation of non-sensor context knowledge
Detection & analysis of large scale phenomena
Risk analysis / data driven sensor management

http://www.fkie.fraunhofer.de/de/veranstaltungen/2014/sensor-data-fusion-trends-solutions-applications/_jcr_content/events/linklistPar/download/file.res/Call-for-Paper%202014.pdf