What is MFI 2021?
The 2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021) is an international conference sponsored by the IEEE Robotics and Automation Society (RAS) and the IEEE Industrial Electronics Society (IES). The conference is held together with the Symposium Sensor Data Fusion (SDF). The conference is hybrid conference with its physical part at Karlsruhe Institute of Technology.
When will MFI 2021 be held?
September 23 – 25, 2021 (Thursday to Saturday). The last day (Sept. 25) will be tutorials. The first and second day (Sept. 23 & 24) are the regular conference days.
Important Deadlines
Paper Deadlines
Full paper submission |
|
Notification of acceptance | 19 August 2021 |
Final paper submission and registration | 9 September 2021 |
Special Session Deadlines
Special session proposals | 30 March 2021 |
Notification of acceptance | 22 April 2021 |
Tutorial and Workshop Deadlines
Tutorial and Workshop proposals | 30 March 2021 |
Notification of acceptance | 22 April 2021 |
Theme:
Taking Multi-Sensor Fusion to the Next Level: From Theory to Applications
Topics:
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
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