[robotics-worldwide] [meetings] ITSC2018 - Special Session - "Beyond Traditional Sensing for Intelligent Transportation"

Letizia Marchegiani m.letizia.marchegiani at gmail.com
Tue Apr 10 08:40:41 PDT 2018

Dear colleagues,

just a kind reminder that the deadline for the *IEEE ITSC 2018 Special
Session *Beyond Traditional Sensing for Intelligent Transportation** to
take place in Maui, Hawaii, is in *5 days*.

More information can be found here:

We look forward to your contributions.

Best wishes,



*ITSC 2018 - The 21st IEEE International Conference on Intelligent
Transportation *Systems. November 4-7, 2018 , Maui, Hawaii, USA.

Special session on
*Beyond Traditional Sensing for Intelligent Transportation*
Submission code:* SS_BEYO*

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 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 and audio for failure
detection. 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 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 modelling (e.g.  sound-based failure detection, and
terrain/road surface status classification)
* Soundscape perception and interpretation
* 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 for failure detection, driver behaviour, etc.
* Far infrared sensing
* Texture odometry
* Novel sensor hardware and designs
* Unconventional sensor placements or multi-sensor systems
* Optimal sensor scheduling and control in complex multi-agent environments
* Astronomical (skyward-facing) sensing for localisation
* Atmospheric or odor-based sensing

*Important Dates*
Paper Submission Deadline: April 15, 2018
Notification of Acceptance: July 2, 2018
Final Paper Submission Deadline: September 09, 2018
Conference Dates: November 4-7, 2018

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 ITSC2018.  Authors who
submit papers to this session are required to use the *Special Session CODE
(SS_BEYO)* when submitting their article. Submissions to regular and
special sessions follow identical format, instructions, deadlines and

Please find more info on the ITSC2018 website https://urldefense.proofpoint.com/v2/url?u=https-3A__www.ieee-2Ditsc2&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=3q70PLE8SWBmF0HYhCoS23bmdSFgwk59Sf8igoZTC2I&s=hjQ-jZMRYKmAFIfbuXU-bJdaeRkbypoJz03QTh4ARrA&e=
018.org/information-for-authors.html .

Letizia Marchegiani, University of Oxford, UK. letizia at robots.ox.ac.uk
Sarah Huiyi Cen, University of Oxford, UK. sarah at robots.ox.ac.uk
Dimitri Ognibene, University of Essex, UK. dimitri.ognibene at essex.ac.uk
Damien Vivet, ISAE-SUPAERO, FR. damien.vivet at isae-supaero.fr

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