Sensor Data Fusion techniques provide higher-level information by spatio-temporal data integration, the exploitation 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, industrial production, precision agriculture, traffic monitoring, sensor positioning, and resource management.

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Important Dates

Draft paper submission deadline:2018-07-08

Topics of submission

  • Distributed sensor fusion in complex scenarios
  • Fusion of heterogeneous sensor information
  • Exploitation of non-sensor context knowledge
  • Artificial Intelligence of autonomous systems
  • Risk analysis / data driven sensor management


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Sponsored By

  • Fraunhofer FKIE
    IEEE Aerospace and Electronic Systems Society
    International Society of Information Fusion