What is MFI2022?

The 2022 IEEE International Conference on Multisensor Fusion and Integration (MFI 2022) is an international conference sponsored by the IEEE Robotics and Automation Society (RAS) and the IEEE Industrial Electronics Society (IES). The conference is currently planned as a hybrid event held at Cranfield University in the United Kingdom.

MFI 2022 will be held on September 20 – 22, 2022 (Tuesday to Thursday). The first and second day (Sept. 20 & 21) are the regular conference days. The last day (Sept. 22) will be tutorials and the industry day.

MFI will be Hybrid

We are pleased to announce that MFI 2022 will be run as a hybrid event. We appreciate that there are a number of our colleagues from across the world that are either unable to travel, or uncomfortable travelling. We will continue to prepare MFI as regular in-person event, but we will be including the option to join all sessions remotely.

Cranfield University (Bedford Campus)

The physical component of MFI 2022 will be held at Cranfield University’s Bedford campus. Cranfield University is a British postgraduate public research university specialising in science, engineering, design, technology and management. It is considered to be one of the UK’s leading engineering universities and has a range of facilities for example The Multi-User Environment for Autonomous Vehicles, The aerospace autonomy laboratory, The Intelligent Mobility Engineering Centre.

In addition to its technical credentials, Cranfield offers a fantastic base to explore some of the fantastic areas within the UK. Within the immediate vicinity lies the county town of Bedford with history dating back to Anglo-Saxon times, the modern city of Milton Keynes known for its urban planning and high-technology. Perhaps the most interesting nearby attraction is Bletchley Park, made famous by Alan Turing and the code breakers of the second world war. Further Cranfield sits within the London-Oxford-Cambridge 'Golden Triangle' and makes an excellent base to explore these famous university cities.

The University campus and conference venue is located in the rural village of Cranfield. It remains well connected by public transport and local road infrastructure. It is within 1 hour of London-Luton international airport, and within 2 hours of London Heathrow and London Stansted international airports. Furthermore, the campus is just a few miles from one of the UK’s major North-South motorways (M1). The university campus has its own short stay accommodation and there are a number of options in the nearby towns of Bedford and Milton Keynes, and wider area.

Important Deadlines

Full paper submission

Notification of acceptance

Final paper submission and registration

7 July 2022 (Extended again)

19 August 2022

9 September 2022

Paper Deadlines

Special Session Deadlines

Special Session Deadlines

Notification of acceptance

15 June 2022 (Extended)

21 June 2022

Tutorial and Workshop Deadlines

Tutorial and Workshop proposals

Notification of acceptance

15 June 2022 (Extended)

29 Jun 2022


Challenges and opportunities for Multi-Sensor Fusion in modern research and industrial applications


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


RGB cameras, depth cameras, neuromorphic imaging, radar and sonar devices, lidar, infrared sensors, IMU, gyroscopes


Multi-target, multi-source 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


Autonomous Driving, 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


Performance Assessment:
Assessing the performance of multi-sensor systems in the presence of noise and uncertain ground truth, uncertainty modelling for machine learning models,