2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems MFI

活动简介

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).

Sponsor Type:1; 1

组委会

General Chairs

Uwe D. Hanebeck, Karlsruhe Institute of Technology (KIT), Germany
Florian Pfaff, Karlsruhe Institute of Technology (KIT), Germany

Honorary Chair

Ren C. Luo, National Taiwan University, Taiwan

Steering / Advisory Committee

Thomas C. Henderson, University of Utah, USA
Rüdiger Dillmann, Karlsruhe Institute of Technology (KIT), Germany
Suk-Han Lee, SungKyunKwan University, Korea
Roland Siegwart, Swiss Federal Institute of Technology (ETH), Zürich, Switzerland

Technical Chairs

Marcus Baum, University of Göttingen, Germany
Thomas Seel, Technical University of Berlin

Program Chairs

Benjamin Noack, Karlsruhe Institute of Technology (KIT), Germany
Daniel Clarke, Adarga Insights, UK

Special Sessions Chairs

Ondřej Straka, University of West Bohemia, Czech Republic
Jindřich Duník, University of West Bohemia, Czech Republic

Tutorials / Workshops Chairs

Manon Kok, Delft University of Technology, Netherlands

Publicity Chairs

Lyudmila Mihaylova, University of Sheffield, UK
Wolfgang Koch, Fraunhofer FKIE, Germany

Publications Chair

Felix Govaers, Fraunhofer FKIE, Germany

Awards Chair

Thomas Längle, Fraunhofer IOSB, Germany

Finance Chair

Marco Huber, University of Stuttgart, Germany

征稿信息

重要日期

2021-05-01

初稿截稿日期

2021-07-01

终稿截稿日期

征稿范围

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, recognition, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, SLAM, 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.