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Call for Papers: 12th Symposium Sensor Data Fusion: Trends, Solutions, and Applications

Termin:09.10.2018 00:00 bis 11.10.2018 00:00
Veranstaltungsort:

Details to follow

Bonn
Nordrhein-Westfalen
Deutschland

Zielgruppe:Journalisten
Wissenschaftler
Kontakt:sdf2018@fkie.fraunhofer.de
Kategorie:Konferenz / Symposion / (Jahres-)Tagung
Übersicht:

Human decision makers 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 decision support. Being a challenging exploitation 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.

Beschreibung:

SCOPE

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.

CALL FOR PAPERS

Prospective authors are encouraged to submit high-quality full draft papers (4-6 pages, IEEE format). All submissions are subject to a peer-review process by the technical program committee.

Accepted papers will be published at the IEEE Xplore data base. At least one of the authors of each accepted contribution is expected to register for the Workshop, which will be held in Bonn, Germany, and to present the paper.

PLENARY TALK

»Integrating learning and knowledge for robust sensor data fusion«, by Chee-Yee Chong.

KEY ASPECTS

- 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

Hinweise zur Teilnahme:
Weitere Informationen: