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.
»Integrating learning and knowledge for robust sensor data fusion«, by Chee-Yee Chong.
- 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
Information on participating / attending:
Students and public agencies 149.- €
Regular 299.- €
- For the student registration a proof of the student status is required.
- One registration covers one paper only.
Fax: +49 228 9435 685
10/09/2018 - 10/11/2018
Details to follow
Journalists, Scientists and scholars
Types of events:
Conference / symposium / (annual) conference
Event is free:
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URL of this event: http://idw-online.de/en/event59965
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