Subject: [AUDITORY] CFP Special Session on "Beyond Traditional Sensing for Intelligent Transportation" - ITSC2020 From: Letizia Marchegiani <m.letizia.marchegiani@xxxxxxxx> Date: Wed, 12 Feb 2020 17:06:01 +0100 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--000000000000bf5d1b059e632630 Content-Type: text/plain; charset="UTF-8" CALL FOR PAPERS: ITSC 2020 - The 23rd IEEE International Conference on Intelligent Transportation Systems September 20-23, 2020. Rhodes, Greece. ------------------------------- Special Session on *Beyond Traditional Sensing for Intelligent Transportation* ------------------------------- https://tinyurl.com/u5bz6v9 ------------------------------ 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 02, 2020 Notification of Acceptance: May 10, 2020 Final Paper Submission Deadline: June 10, 2020 Conference Dates: September 20-23, 2020 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 ITSC2020. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures. Please find more info on the ITSC2020 website https://www.ieee-itsc2020.org/ ------------------------------- *Organizers* Letizia Marchegiani, Aalborg University, Denmark. lm@xxxxxxxx Dimitri Ognibene, University of Essex, UK. dimitri.ognibene@xxxxxxxx Daniele De Martini, University of Oxford, UK. daniele@xxxxxxxx Xenofon Fafoutis, Technical University of Denmark (DTU), Denmark. xefa@xxxxxxxx Yan Wu, A*STAR Institute for Infocomm Research, Singapore. wuy@xxxxxxxx Sahar Abbaspour, Volvo Car Corporation, Sweden. sahar.abbaspour@xxxxxxxx Matthew Gadd, University of Oxford, UK. mattgadd@xxxxxxxx --000000000000bf5d1b059e632630 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div dir=3D"ltr"><div>CALL FOR PAPERS:</div><div><br></div= ><div>ITSC 2020 - The 23rd IEEE International Conference on Intelligent Tra= nsportation Systems</div><div><br></div><div>September 20-23, 2020. Rhodes,= Greece.</div><div><br></div><div>-------------------------------</div><div= >Special Session on=C2=A0</div><div>*Beyond Traditional Sensing for Intelli= gent Transportation*</div><div>-------------------------------</div><div><a= href=3D"https://tinyurl.com/u5bz6v9">https://tinyurl.com/u5bz6v9</a></div>= <div>------------------------------</div><div><br></div><div>Over the past = few decades, sensors have not only become more advanced but also made impre= ssive strides across an increasing number of sensing modalities.</div><div>= 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 prov= ide.</div><div>Since all tasks -- including perception, localisation, decis= ion-making, and learning -- are built on top of sensing, exploring alternat= ive approaches to sensing is a compelling research area that can render all= subsequent tasks more robust and accurate.</div><div><br></div><div>The ob= jective of this special session is to explore unconventional sensing for in= telligent transportation in three ways.</div><div>Firstly, it will investig= ate 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>Secondly, it will e= xplore untraditional sensor configurations and placements, such as ground-f= acing cameras using shadows to detect occluded moving objects.</div><div>La= stly, it will look into the sensing of commonly overlooked information, suc= h as the use of atmospheric sensors for gauging road surface traction or in= -vehicle sensors for driving analysis.</div><div>Via these three themes, th= is special session aims to stimulate discussion and research into untraditi= onal sensing in order to improve the reliability and accuracy of transporta= tion systems.</div><div><br></div><div><br></div><div>Topics of interest in= clude, but are not limited to:</div><div>* Localisation and navigation usin= g radars (e.g., scanning, Doppler, and ground-penetrating);</div><div>* Ego= -noise and soundscape modelling and interpretation (e.g., sound-based failu= re detection, terrain/road surface status classification, urban sound sourc= e detection and localisation);</div><div>* Event-based (neuromorphic) visio= n for localisation and perception in challenging scenarios;</div><div>* Mul= ti-spectral imaging (e.g. IR or polarimetric cameras for localisation and p= erception under difficult visibility);</div><div>* In-vehicle sensing and w= earable computing for failure detection, driver and passenger behaviour mod= elling;</div><div>* Far infrared sensing;</div><div>* Texture odometry;</di= v><div>* Novel sensor hardware and designs;</div><div>* Unconventional sens= or placements or multi-sensor systems;</div><div>* Optimal sensor schedulin= g and control in complex and/or multi-agent / social environments;</div><di= v>* Astronomical (skyward-facing), atmospheric or odor-based sensing;</div>= <div>* IoT technology for intelligent transportation and Internet of Vehicl= es (IoV);</div><div>* Passive Wireless/RF sensing.</div><div><br></div><div= ><br></div><div>-------------------------------</div><div>*Important Dates*= </div><div>Paper Submission Deadline: March 02, 2020</div><div>Notification= of Acceptance: May 10, 2020</div><div>Final Paper Submission Deadline: Jun= e 10, 2020</div><div>Conference Dates: September 20-23, 2020 =C2=A0 =C2=A0<= /div><div><br></div><div>Authors are kindly invited to notify the organiser= s of their submissions.</div><div><br></div><div>Papers submitted to this S= pecial Session are reviewed according to the same rules as the submissions = to the regular sessions of ITSC2020. Submissions to regular and special ses= sions follow identical format, instructions, deadlines and procedures.</div= ><div><br></div><div>Please find more info on the ITSC2020 website=C2=A0</d= iv><div><a href=3D"https://www.ieee-itsc2020.org/">https://www.ieee-itsc202= 0.org/</a></div><div><br></div><div><br></div><div>------------------------= -------</div><div>*Organizers*</div><div>Letizia Marchegiani, Aalborg Unive= rsity, Denmark. <a href=3D"mailto:lm@xxxxxxxx">lm@xxxxxxxx</a></div><div>= Dimitri Ognibene, University of Essex, UK. <a href=3D"mailto:dimitri.ognibe= ne@xxxxxxxx">dimitri.ognibene@xxxxxxxx</a></div><div>Daniele De Marti= ni, University of Oxford, UK. <a href=3D"mailto:daniele@xxxxxxxx">da= niele@xxxxxxxx</a></div><div>Xenofon Fafoutis, Technical University = of Denmark (DTU), Denmark. <a href=3D"mailto:xefa@xxxxxxxx">xefa@xxxxxxxx</a></= div><div>Yan Wu, A*STAR Institute for Infocomm Research, Singapore. <a href= =3D"mailto:wuy@xxxxxxxx">wuy@xxxxxxxx</a></div><div>Sahar= Abbaspour, Volvo Car Corporation, Sweden. <a href=3D"mailto:sahar.abbaspou= r@xxxxxxxx">sahar.abbaspour@xxxxxxxx</a></div><div>Matthew Gadd, = University of Oxford, UK. <a href=3D"mailto:mattgadd@xxxxxxxx">mattg= add@xxxxxxxx</a></div><div><br></div></div></div> --000000000000bf5d1b059e632630--