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.
Sponsor Type:1; 9; 9
Executive Chairs
Wolfgang Koch Fraunhofer FKIE and University of Bonn, Germany
Peter Willett University of Connecticut, USA
Technical Program Chair
Felix Govaers Fraunhofer FKIE, Germany
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.
10月12日
2022
10月14日
2022
初稿截稿日期
初稿录用通知日期
注册截止日期
终稿截稿日期
2017年10月10日 德国 Bonn
2017 Sensor Data Fusion: Trends, Solutions, Applications2014年10月08日 德国
2014年传感器数据融合研讨会2013年10月09日 德国
2013年国际传感器数据融合:趋势,解决方案,应用程序研讨会
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