[CFP]: Workshop at IEEE CASE 2025 - The More the Better: Multimodal Perception for Safer Autonomous Navigation

[Letizia Marchegiani]

CALL FOR PAPERS:
 
IEEE CASE 2025 - The 21st International Conference on Automation Science and Engineering
 
August 17 – 21, 2025, Los Angeles, California, USA
 

-------------------------------
Workshop on
* The More the Better: Multimodal Perception for Safer Autonomous Navigation *
-------------------------------
Workshop Website: https://isar.unipg.it/workshop-case-2025/
------------------------------
 

Reliable and robust perception is fundamental to the safety of autonomous systems, especially in the context of driverless vehicles, where faults and mistakes might lead to disastrous consequences. Yet, no perception system is infallible, and no sensor can guarantee consistent performance in all possible circumstances. RGB cameras naturally struggle when illumination is scarce, for instance; LiDAR's behaviour is affected by harsh weather conditions (e.g., heavy rain or fog).  Combining sensing modalities in a mutually beneficial way, leveraging their strengths and mitigating their weaknesses, has been shown to lead to significant improvements in the accuracy and robustness of perception systems.  

This workshop aims to explore novel multimodal perception strategies in three ways. Firstly, it will investigate multimodal systems featuring the integration of sensors not typically applied to specific tasks. Secondly, it will explore some of the challenges still withholding the rapid development of multi-sensor suites, such as continuous calibration. Lastly, it will investigate innovative multimodal paradigms, such as end-to-end navigation schemes. Via these three themes, this workshop aims to stimulate discussion and research into multimodal perception, to improve the reliability and accuracy of transportation systems.  

 
Topics of interest include, but are not limited to:  
Autonomous Driving and Intelligent Transportation Systems, Multimodal Perception, Sensing, Localization, Visual Learning, Sensor fusion, Multimodal Navigation, Machine Learning, Deep Learning, Signal and Image Processing, Multi-Sensor Calibration, End-to-end Multimodal Navigation, Deep Reinforcement Learning for Perception-to-Action, Perception-Action Coupling, Cooperative Perception, Distributed Perception.


-------------------------------
*Important Dates*
July 15, 2025 - Submission deadline for workshop papers
July 22, 2025 - Notification of paper acceptance
July 31, 2025 - Final paper submission deadline
August 21, 2025 - Workshop date
 

We invite participants to submit 2 pages + references extended abstracts. All contributions must use the IEEE template available here.

The accepted abstracts will be made available on the workshop website but will not appear in the official IEEE conference proceedings. Participants are encouraged to submit their recent work on the topics of interest mentioned above.

Link for submission:  
https://cmt3.research.microsoft.com/TMTB2025/

You can find detailed instructions on how to submit your paper here.

 
-------------------------------
*Organizers*
Letizia Marchegiani, University of Parma, Italy
Gabriele Costante, University of Perugia, Italy
Alberto Dionigi, University of Perugia, Italy
Katerina Vinciguerra University of Parma, Italy
Dimitri Ognibene, University of Milan - Bicocca, Italy
Domenico G. Sorrenti, University of Milan - Bicocca, Italy
Daniele De Martini, University of Oxford, UK
Yan Wu, A*STAR Institute for Infocomm Research, Singapore
Matthew Gadd, St Hilda's College, University of Oxford, UK

 

-------------------------------
*Paper Submission Guidelines*

Please read the following paper submission guidelines before submitting your papers:
*  We invite participants to submit 2 pages + references extended abstracts.
* Contributions can be original works, previously published works, or concise reports on research conducted in recent years on the topics of interest mentioned above. Submissions may also summarize the results of recently concluded or ongoing research projects or illustrate specific experimental applications of theoretical results.
* The allowed paper length is 2+N, meaning 2 pages for the paper content, plus any number of pages for the references. Be aware that longer papers will be automatically REJECTED.
* All papers must be submitted through the CMT Microsoft online submission system.
* The accepted abstracts will be made available on the workshop website but will not appear in the official IEEE conference proceedings.
* New authors cannot be added after your paper has been accepted. Please ensure that you are following this guideline to avoid any issues with publication.

 

-------------------------------
*Acknowledgements*

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.