IEEE Sensor Data Fusion: Trends, Solutions, Applications (SDF)
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Sensor Data Fusion techniques provide higher-level in- formation by spatio-temporal data integration, the ex- ploitation of redundant and complementary information, and the available context. Important applications exist in logistics, advanced driver assistance systems, medical care, public security, defence, aerospace, robotics, indus- trial production, precision agriculture, traffic monitoring, sensor positioning, and resource management.
IEEE Sensor Data Fusion: Trends, Solutions, Applications (SDF) is technically sponsored by IEEE. The proceedings will be submitted for inclusion in Web of Science (WoS), Scopus, Ei Compendex, DBLP, Google Scholar, and many others databases.