-------- Ursprüngliche Nachricht -------- Von: "Xenofon (Fontas) Fafoutis" 00000134bbe013e9-dmarc-request@COMSOC-LISTSERV.IEEE.ORG Gesendet: 18. Februar 2019 17:31:07 MEZ An: tccc-announce@COMSOC.ORG Betreff: [TCCC-ANNOUNCE] CFP: IEEE ITSC 2019 - Special Session on Beyond Traditional Sensing for Intelligent Transportation

CALL FOR PAPERS:

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 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); * 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 (IoV); * Passive Wireless/RF sensing.

------------------------------- *Important Dates* Paper Submission Deadline: March 31, 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 https://www.itsc2019.org

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

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