Call for Papers
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, eld robotics, swarm robotics, force and tactile sensing, surgical robotics, humanoids, soft-bodied robots.
Theme and Topics of Interest
The following information must be included in the special session proposal:
- Title of the proposed special session
- Names and affiiations of the organizers, including brief bio and contact information
- Session abstract, including the significance of the topic and the rationale for the proposed session
- List of invited papers including a tentative title, author list and a short abstract for each paper
Session Approval Process and Paper Review Process
All papers submitted to a special session will be reviewed through the same review process as the regular papers of the conference to ensure that contributions are of high quality. If a special session has more papers accepted than the schedule can accommodate, some of the papers might be moved to other relevant sessions.
For additional information regarding the special sessions, please contact the special session chairs Ondřej Straka (firstname.lastname@example.org), and Jindřich Duník (email@example.com).
Theme and Topics of Interest
Definitions and Further Details
Proposals for tutorials and workshops may cover the conference’s topics of interest as found in the MFI 2021 call for papers (see above). Other areas in which multisensor fusion and integration can or should be applicable are especially encouraged. Examples include but are not limited to fusion of soft and hard data, deep learning, fusion for cybersecurity, or geospatial sensing and analysis.
Tutorials should cover a single topic in detail and should present the state of the art about a frontier topic, enabling attendees to fully appreciate the current issues, main schools of thought and possible application areas. Honoraria are paid to all tutorial speakers. The honorarium is made up of a basic amount plus a variable bonus. The bonus is directly taken from the tutorial fees and thus proportional to the number of attendees. If a tutorial is given by multiple speakers, the honorarium for their tutorial is shared among all speakers.
Workshops complement the main MFI 2021 conference by giving groups of people the opportunity to hold a small “microconference” as part of the MFI 2021 conference. Workshops can vary in length but they always share key points of the technical program (such as plenary talks) and social events (such as the banquet) with the main conference. Exact workshop paper submission and author notification due dates are at the discretion of workshop organizers but must fit in the main conference time-line.
Tutorial and workshop proposals should not exceed 2 pages and should contain the following information:
- Title of the proposed tutorial/workshop
- Duration (3 hours, 6 hours, or 9 hours)
- Intended audience and prerequisites for the attendees’ background knowledge
- Description of the tutorial, including the learning objectives and a short summary of the material to be presented
- Biographical sketch(es) of the instructor(s) including previous lecture and tutorial/workshop experience
Sensor Data Fusion techniques provide higher-level information by spatio-temporal data integration, the exploitation of redundant and complementary information, and the available context. Important applications exist in logistics, advanced driver assistance systems, medical care, public security, defence, aerospace, robotics, industrial production, precision agriculture, traffic monitoring, sensor positioning, and resource management.
- Distributed sensor fusion in complex scenarios
- Fusion of heterogeneous sensor information
- Exploitation of non-sensor context knowledge
- Artificial Intelligence of autonomous systems
- Risk analysis / data driven sensor management