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