[robotics-worldwide] [meetings] ITSC2019 - Special Session on "Beyond Traditional Sensing for Intelligent Transportation" - DEADLINE EXTENDED!

Letizia Marchegiani m.letizia.marchegiani at gmail.com
Mon Mar 25 02:45:56 PDT 2019

Dear all,

the deadline for the IEEE ITSC 2019 Special Session *Beyond Traditional
Sensing for Intelligent Transportation* to take place in Auckland, New
Zealand, has been extended to April 15th!

We look forward to your contributions.

Best wishes,



ITSC 2019 - The 22nd IEEE International Conference on Intelligent
Transportation Systems

October 27-30, 2019. Auckland, New Zealand.

Special Session on
*Beyond Traditional Sensing for Intelligent Transportation*

Over the past few decades, sensors have not only become more advanced but
also made impressive strides across an increasing number of sensing
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
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
* Ego-noise and soundscape modelling and interpretation (e.g., sound-based
failure detection, terrain/road surface status classification, urban sound
source detection and localisation);
* Event-based (neuromorphic) vision for localisation and perception in
challenging scenarios;
* Multi-spectral imaging (e.g. IR or polarimetric cameras for localisation
and perception under difficult visibility);
* 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
* Passive Wireless/RF sensing.

*Important Dates*
Paper Submission Deadline: April 15, 2019
Notification of Acceptance: June 30, 2019
Final Paper Submission Deadline: July 15, 2019
Conference Dates: October 27-30, 2019

Authors are kindly invited to notify the organisers of their submissions.

Papers submitted to this Special Session are reviewed according to the same
rules as the submissions to the regular sessions of ITSC2019. Submissions
to regular and special sessions follow identical format, instructions,
deadlines and procedures.

Please find more info on the ITSC2019 website

Letizia Marchegiani, Aalborg University, Denmark. lm at es.aau.dk
Sarah Huiyi Cen, Massachusetts Institute of Technology (MIT), MA, USA.
shcen at mit.edu
Dimitri Ognibene, University of Essex, UK. dimitri.ognibene at essex.ac.uk
Daniele De Martini, University of Oxford, UK. daniele at robots.ox.ac.uk
Xenofon Fafoutis, Technical University of Denmark (DTU), Denmark.
xefa at dtu.dk
Yan Wu, A*STAR Institute for Infocomm Research, Singapore.
wuy at i2r.a-star.edu.sg
Sahar Abbaspour, Volvo Car Corporation, Sweden.
sahar.abbaspour at volvocars.com

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