Dear all,
We are working on the proposal for the 5th Edition of our special session
on "Beyond Traditional Sensing for Intelligent Transportation" at ITSC 2022
- the 25th IEEE International Conference on Intelligent Transportation
Systems (https://www.ieee-itsc2022.org/).
*We are looking for contributions to include in our proposal. *
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;
* Novel sensor hardware and designs;
* Unconventional sensor placements or multi-sensor systems;
* Optimal sensor scheduling;
* Astronomical (skyward-facing), atmospheric or odour-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.
Organisation committee:
-------------------------------
Letizia Marchegiani, Aalborg University, Denmark. l...@es.aau.dk
Dimitri Ognibene, University of Milano Bicocca, IT.
dimitri.ognib...@unimib.it
Daniele De Martini, University of Oxford, UK. dani...@robots.ox.ac.uk
Xenofon Fafoutis, Technical University of Denmark (DTU), Denmark.
x...@dtu.dk
Yan Wu, A*STAR Institute for Infocomm Research, Singapore.
w...@i2r.a-star.edu.sg
Matthew Gadd, University of Oxford, UK. mattg...@robots.ox.ac.uk
Shahab Heshmati-Alamdari, Aalborg University, Denmark. s...@es.aau.dk
-------------------------------
-------------------------------
Important Dates:
-------------------------------
Deadline for the expression of interest is February 10, 2022.
Deadline for paper submission is March 1st, 2022.
Please, get in touch with us if you are interested in submitting a paper to
our session or if you would like to have further information.
Looking forward to your contributions.
Best wishes,
Letizia
(on behalf of the organisation committee)
*-------------------------------------------------------Letizia
Marchegiani, PhDAssistant ProfessorDepartment of Electronic SystemsAalborg
UniversityFredrik Bajers Vej 79220 Aalborg
ØDenmarkhttps://letizia-marchegiani.github.io/
<https://letizia-marchegiani.github.io/>*
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