Dear all,
the deadline for the IEEE ITSC 2022 Special Session *Beyond Traditional Sensing for Intelligent Transportation* is tomorrow (March 1, 2022)!
We look forward to your contributions.
Best wishes,
Letizia
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CALL FOR PAPERS:
ITSC 2022 - The 25th IEEE International Conference on Intelligent Transportation Systems
October 8-12, 2022. Macau, China
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Special Session on
*Beyond Traditional Sensing for Intelligent Transportation*
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SS21: code m1q21
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Over the past few decades, sensors have not only become more advanced but also made impressive strides across an increasing number of sensing modalities. Despite the improved capabilities and breadth of available sensor systems, those used for intelligent transportation have remained relatively uniform across platforms; as a result, the algorithms and techniques being designed do not take full advantage of the rich information modern sensors can provide. Since all tasks -- including perception, localisation, decision-making, and learning -- are built on top of sensing, exploring alternative approaches to sensing is a compelling research area that can render all subsequent tasks more robust and accurate.
The objective of this special session is to explore unconventional sensing for intelligent transportation in three ways. Firstly, it will investigate sensor systems that are not typically applied to certain transportation tasks, such as radar for precise localisation, audio for failure detection, and RF sensing for road traffic estimation. Secondly, it will explore untraditional sensor configurations and placements, such as ground-facing cameras using shadows to detect occluded moving objects. Lastly, it will look into the sensing of commonly overlooked information, such as the use of atmospheric sensors for gauging road surface traction or in-vehicle sensors for driving analysis. Via these three themes, this special session aims to stimulate discussion and research into untraditional sensing in order to improve the reliability and accuracy of transportation systems.
Topics of interest include, but are not limited to:
* Localisation and navigation using radars (e.g., scanning, Doppler, and ground-penetrating);
* Ego-noise and soundscape modelling and interpretation (e.g., sound-based failure detection, terrain/road surface status classification, urban sound source detection and localisation);
* Unconventional optical sensors for localisation and perception in challenging scenarios (e.g. event-based vision, multi-spectral imaging)
* In-vehicle sensing and wearable computing for failure detection, driver and passenger behaviour modelling;
* Far infrared sensing;
* Texture odometry;
* Novel sensor hardware and designs;
* Unconventional sensor placements or multi-sensor systems;
* Optimal sensor scheduling and control in complex and/or multi-agent / social environments;
* Astronomical (skyward-facing), atmospheric or odor-based sensing;
* IoT technology for intelligent transportation and Internet of Vehicles (IoV);
* Passive Wireless/RF sensing;
* Untraditional Multimodal Sensing, Fusion and Perception;
* Robot Control based on Unconventional Sensing;
* Remote, off-board sensing.
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*Important Dates*
Paper Submission Deadline: March 01, 2022
Notification of Acceptance: May 1, 2022
Final Paper Submission Deadline: June 1, 2022
Conference Dates: October 8-12, 2022
Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of ITSC2022. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures.
Please find more info on the ITSC2022 website
https://www.ieee-itsc2022.org/-------------------------------
*Organizers*
Letizia Marchegiani, Aalborg University, Denmark.
lm@xxxxxxxxxDimitri Ognibene, University of Milano Bicocca, IT.
dimitri.ognibene@xxxxxxxxxDaniele De Martini, University of Oxford, UK.
daniele@xxxxxxxxxxxxxxxXenofon Fafoutis, Technical University of Denmark (DTU), Denmark.
xefa@xxxxxxYan Wu, A*STAR Institute for Infocomm Research, Singapore.
wuy@xxxxxxxxxxxxxxxxxMatthew Gadd, University of Oxford, UK.
mattgadd@xxxxxxxxxxxxxxxShahab Heshmati-Alamdari, Aalborg University, Denmark.
shhe@xxxxxxxxx