<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Apologies for cross posting<div class="">-----------------------------------------------------------------------<br class=""><div><br class=""><div class=""><div dir="ltr" class=""><div class="">Dear all,</div><div class=""><br class=""></div><div class="">the deadline for the IEEE ITSC 2019 Special Session *<b class="">Beyond Traditional Sensing for Intelligent Transportation</b>* to take place in Auckland, New Zealand, has been extended to <b class="">April 15th</b>! </div><div class=""><br class=""></div><div class="">We look forward to your contributions.</div><div class=""><br class=""></div><div class="">Best wishes,</div><div class="">Letizia</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">--------------------------------------------------------------------------</div><div class=""><br class=""></div><div class="">CALL FOR PAPERS:</div><div class=""><br class=""></div><div class="">ITSC 2019 - The 22nd IEEE International Conference on Intelligent Transportation Systems</div><div class=""><br class=""></div><div class="">October 27-30, 2019. Auckland, New Zealand.</div><div class=""><br class=""></div><div class="">-------------------------------</div><div class="">Special Session on </div><div class=""><b class="">*Beyond Traditional Sensing for Intelligent Transportation*</b></div><div class="">-------------------------------</div><div class=""><a href="https://bit.ly/2IoOn5n" class="">https://bit.ly/2IoOn5n</a></div><div class="">------------------------------</div><div class=""><br class=""></div><div class="">Over the past few decades, sensors have not only become more advanced but also made impressive strides across an increasing number of sensing modalities.</div><div class="">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.</div><div class="">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.</div><div class=""><br class=""></div><div class="">The objective of this special session is to explore unconventional sensing for intelligent transportation in three ways.</div><div class="">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.</div><div class="">Secondly, it will explore untraditional sensor configurations and placements, such as ground-facing cameras using shadows to detect occluded moving objects.</div><div class="">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.</div><div class="">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.</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Topics of interest include, but are not limited to:</div><div class="">* Localisation and navigation using radars (e.g., scanning, Doppler, and ground-penetrating);</div><div class="">* Ego-noise and soundscape modelling and interpretation (e.g., sound-based failure detection, terrain/road surface status classification, urban sound source detection and localisation);</div><div class="">* Event-based (neuromorphic) vision for localisation and perception in challenging scenarios;</div><div class="">* Multi-spectral imaging (e.g. IR or polarimetric cameras for localisation and perception under difficult visibility);</div><div class="">* In-vehicle sensing and wearable computing for failure detection, driver and passenger behaviour modelling;</div><div class="">* Far infrared sensing;</div><div class="">* Texture odometry;</div><div class="">* Novel sensor hardware and designs;</div><div class="">* Unconventional sensor placements or multi-sensor systems;</div><div class="">* Optimal sensor scheduling and control in complex and/or multi-agent / social environments;</div><div class="">* Astronomical (skyward-facing), atmospheric or odor-based sensing;</div><div class="">* IoT technology for intelligent transportation and Internet of Vehicles (IoV);</div><div class="">* Passive Wireless/RF sensing.</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">-------------------------------</div><div class="">*Important Dates*</div><div class=""><b class="">Paper Submission Deadline: April 15, 2019</b></div><div class="">Notification of Acceptance: June 30, 2019</div><div class="">Final Paper Submission Deadline: July 15, 2019</div><div class="">Conference Dates: October 27-30, 2019 </div><div class=""><br class=""></div><div class="">Authors are kindly invited to notify the organisers of their submissions.</div><div class=""><br class=""></div><div class="">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.</div><div class=""><br class=""></div><div class="">Please find more info on the ITSC2019 website </div><div class=""><a href="https://www.itsc2019.org" class="">https://www.itsc2019.org</a></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">-------------------------------</div><div class="">*Organizers*</div><div class="">Letizia Marchegiani, Aalborg University, Denmark. <a href="mailto:lm@es.aau.dk" class="">lm@es.aau.dk</a></div><div class="">Sarah Huiyi Cen, Massachusetts Institute of Technology (MIT), MA, USA. <a href="mailto:shcen@mit.edu" class="">shcen@mit.edu</a></div><div class="">Dimitri Ognibene, University of Essex, UK. <a href="mailto:dimitri.ognibene@essex.ac.uk" class="">dimitri.ognibene@essex.ac.uk</a></div><div class="">Daniele De Martini, University of Oxford, UK. <a href="mailto:daniele@robots.ox.ac.uk" class="">daniele@robots.ox.ac.uk</a></div><div class="">Xenofon Fafoutis, Technical University of Denmark (DTU), Denmark. <a href="mailto:xefa@dtu.dk" class="">xefa@dtu.dk</a></div><div class="">Yan Wu, A*STAR Institute for Infocomm Research, Singapore. <a href="mailto:wuy@i2r.a-star.edu.sg" class="">wuy@i2r.a-star.edu.sg</a></div><div class="">Sahar Abbaspour, Volvo Car Corporation, Sweden. <a href="mailto:sahar.abbaspour@volvocars.com" class="">sahar.abbaspour@volvocars.com</a></div><div class=""><br class=""></div></div><div class=""><br class="webkit-block-placeholder"></div></div></div><br class=""></div></body></html>