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    MFI 2010 - The 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI 2010

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    Website http://www.cs.utah.edu/mfi2010/ | Want to Edit it Edit Freely

    Category MFI 2010

    Deadline: April 01, 2010 | Date: September 05, 2010

    Venue/Country: Utah, U.S.A

    Updated: 2010-06-04 19:32:22 (GMT+9)

    Call For Papers - CFP

    The 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems will take place at historical Fort Douglas, University of Utah, Salt Lake City, Utah, USA, 5-7 September 2010.

    The theme of MFI 2010 is “Cognitive Sensor Fusion.” A major goal of multisensor fusion systems is to achieve human-like performance in terms of perception, knowledge extraction, and situation assessment, exploiting symbolic and/or dynamical systems approaches.

    Original high-quality contributions are solicited which demonstrate progress on fundamental principles, algorithm, systems, or applications.

    Innovative results on multisensor fusion topics are invited such as distributed methods, sensor/actuator networks, bio-based systems, evolutionary methods, biomedical applications, autonomous vehicles (land, sea, air), architectures, micro/nano systems, tracking, SLAM, information fusion, sensors, swarms.

    We would like to address the following scientific and technological issues:

    Capable Sensor Networks

    Learning, interaction, reasoning, programming, robust perception, manipulation.

    Affordable Sensor Networks

    Wide-area distribution, navigation, localization, manipulation, obstacle avoidance, coverage.

    Measureable Sensor Networks

    Performance metrics and procedures, benchmarks, experimental, robotics, standards.

    Dependable Sensor Networks

    Robust autonomy, error recovery, remote diagnosis and monitoring; self-modeling, self-monitoring, self-repair.

    Special sessions may be organized for the following topics (among others):

    - usability and disposability

    - medical applications

    - body sensor networks

    - learning by experimentation


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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