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<!--        What is MFI?        -->
 
<!--        What is MFI?        -->
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| style="padding:2px;" | <h2 id="mp-dyk-h2" style="margin:3px; background:#d6efd6; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #bdd6c6; text-align:left; color:#000; padding:0.2em 0.4em;">What is MFI 2016?</h2>
 
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| style="color:#000; padding:2px 5px 5px;" | <div id="mp-dyk"> The 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016) is an international conference sponsored by the IEEE Robotics and Automation Society (RAS) and the IEEE Industrial Electronics Society (IES).
 
| style="color:#000; padding:2px 5px 5px;" | <div id="mp-dyk"> The 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016) is an international conference sponsored by the IEEE Robotics and Automation Society (RAS) and the IEEE Industrial Electronics Society (IES).
 
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{| id="mp-left" style="width:100%; vertical-align:top; background:#e7f7e76;"
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| style="color:#000; padding:2px 5px 5px;" | <div id="mp-dyk">19 - 21 September 2016, Monday to Wednesday
 
| style="color:#000; padding:2px 5px 5px;" | <div id="mp-dyk">19 - 21 September 2016, Monday to Wednesday
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<!--        Heidelberg is perfectly suited for FUSION because...        -->
 
<!--        Heidelberg is perfectly suited for FUSION because...        -->
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<h2 id="mp-tfa-h2" style="margin:3px; border-radius: 2em; background:#e7deef; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #d6bdde; text-align:left; color:#000; padding:0.2em 0.4em;">''Theme:''</h2>
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Taking Multi-Sensor Fusion to the Next Level: From Theory to Applications</div>
 
Taking Multi-Sensor Fusion to the Next Level: From Theory to Applications</div>
 
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Probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures</div>
 
Probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures</div>
 
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RGB cameras, depth cameras, radar and sonar devices, laser scanner, infrared sensors, IMU, gyroscopes</div>
 
RGB cameras, depth cameras, radar and sonar devices, laser scanner, infrared sensors, IMU, gyroscopes</div>
 
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Tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration</div>
 
Tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration</div>
 
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Revision as of 10:16, 2 March 2016

What is MFI 2016?

The 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016) is an international conference sponsored by the IEEE Robotics and Automation Society (RAS) and the IEEE Industrial Electronics Society (IES).

When will MFI 2016 be held?

19 - 21 September 2016, Monday to Wednesday

First day (Sept. 19) will be tutorials. Second and third day (Sept. 20 & 21) is the regular conference. Welcome reception is in the evening of the first day, Sept. 19. Banquet is on the evening of the second day, Sept. 20.


Important Deadlines

Tutorial and Workshop proposals May 21, 2016
Full paper submission May 21, 2016
Notification of acceptance June 22, 2016
Final paper submission and early registration July 20, 2016

Location

Baden-Baden is a very nice location for MFI 2016. This is the second time the MFI comes to Baden-Baden, after the great success of MFI 2001.

Topics:

Theme:

Taking Multi-Sensor Fusion to the Next Level: From Theory to Applications

Theory:

Probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures

Sensors:

RGB cameras, depth cameras, radar and sonar devices, laser scanner, infrared sensors, IMU, gyroscopes

Algorithms for:

Tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration

Applications:

Sensor networks, multi-robot systems, distributed and cloud robotics, bio-inspired systems, service robots, automation, biomedical applications, autonomous vehicles (land, sea, air), manipulation planning and control, multifinger hands, micro/nano systems, surveillance, multimodal interface and human robot interaction, navigation, Internet-of-Things, smart cities, cyber-physical systems, Industry 4.0, search/rescue/audition, field robotics, swarm robotics, force and tactile sensing, surgical robotics, humanoids, soft-bodied robots

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