Subject: [AUDITORY] CFP - ITSC2022: DEADLINE APPROACHING! Special Session on "Beyond Traditional Sensing for Intelligent Transportation" From: Letizia Marchegiani <m.letizia.marchegiani@xxxxxxxx> Date: Mon, 28 Feb 2022 16:11:52 +0100--0000000000008bda6805d91578c4 Content-Type: text/plain; charset="UTF-8" Dear all, the deadline for the IEEE ITSC 2022 Special Session *Beyond Traditional Sensing for Intelligent Transportation* is tomorrow (March 1, 2022)! We look forward to your contributions. Best wishes, Letizia ------------------------------------------------------------- CALL FOR PAPERS: ITSC 2022 - The 25th IEEE International Conference on Intelligent Transportation Systems October 8-12, 2022. Macau, China ------------------------------- Special Session on *Beyond Traditional Sensing for Intelligent Transportation* ------------------------------- SS21: code m1q21 ------------------------------ 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); * Unconventional optical sensors for localisation and perception in challenging scenarios (e.g. event-based vision, multi-spectral imaging) * 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; * Untraditional Multimodal Sensing, Fusion and Perception; * Robot Control based on Unconventional Sensing; * Remote, off-board sensing. ------------------------------- *Important Dates* Paper Submission Deadline: March 01, 2022 Notification of Acceptance: May 1, 2022 Final Paper Submission Deadline: June 1, 2022 Conference Dates: October 8-12, 2022 Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of ITSC2022. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures. Please find more info on the ITSC2022 website https://www.ieee-itsc2022.org/ ------------------------------- *Organizers* Letizia Marchegiani, Aalborg University, Denmark. lm@xxxxxxxx Dimitri Ognibene, University of Milano Bicocca, IT. 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 Matthew Gadd, University of Oxford, UK. mattgadd@xxxxxxxx Shahab Heshmati-Alamdari, Aalborg University, Denmark. shhe@xxxxxxxx --0000000000008bda6805d91578c4 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Dear all,<br><br>the deadline for the IEEE ITSC 2022 Speci= al Session *Beyond Traditional Sensing for Intelligent Transportation* is t= omorrow (March 1, 2022)! <br><br>We look forward to your contributions.<br>= <br>Best wishes,<br>Letizia<br><br>----------------------------------------= ---------------------<br><br>CALL FOR PAPERS:<br><br>ITSC 2022 - The 25th I= EEE International Conference on Intelligent Transportation Systems<br><br>O= ctober 8-12, 2022. Macau, China<br><br>-------------------------------<br>S= pecial Session on <br>*Beyond Traditional Sensing for Intelligent Transport= ation*<br>-------------------------------<br>SS21: code m1q21<br>----------= --------------------<br><br>Over the past few decades, sensors have not onl= y become more advanced but also made impressive strides across an increasin= g number of sensing modalities. Despite the improved capabilities and bread= th of available sensor systems, those used for intelligent transportation h= ave remained relatively uniform across platforms; as a result, the algorith= ms and techniques being designed do not take full advantage of the rich inf= ormation modern sensors can provide. Since all tasks -- including perceptio= n, localisation, decision-making, and learning -- are built on top of sensi= ng, exploring alternative approaches to sensing is a compelling research ar= ea that can render all subsequent tasks more robust and accurate. <br><br>T= he objective of this special session is to explore unconventional sensing f= or intelligent transportation in three ways. Firstly, it will investigate s= ensor systems that are not typically applied to certain transportation task= s, such as radar for precise localisation, audio for failure detection, and= RF sensing for road traffic estimation. Secondly, it will explore untradit= ional sensor configurations and placements, such as ground-facing cameras u= sing shadows to detect occluded moving objects. Lastly, it will look into t= he sensing of commonly overlooked information, such as the use of atmospher= ic sensors for gauging road surface traction or in-vehicle sensors for driv= ing analysis. Via these three themes, this special session aims to stimulat= e discussion and research into untraditional sensing in order to improve th= e reliability and accuracy of transportation systems. <br><br><br>Topics of= interest include, but are not limited to:<br>* Localisation and navigation= using radars (e.g., scanning, Doppler, and ground-penetrating);<br>* Ego-n= oise and soundscape modelling and interpretation (e.g., sound-based failure= detection, terrain/road surface status classification, urban sound source = detection and localisation);<br>* Unconventional optical sensors for locali= sation and perception in challenging scenarios (e.g. event-based vision, mu= lti-spectral imaging) =C2=A0 <br>* In-vehicle sensing and wearable computin= g for failure detection, driver and passenger behaviour modelling;<br>* Far= infrared sensing;<br>* Texture odometry;<br>* Novel sensor hardware and de= signs;<br>* Unconventional sensor placements or multi-sensor systems;<br>* = Optimal sensor scheduling and control in complex and/or multi-agent / socia= l environments;<br>* Astronomical (skyward-facing), atmospheric or odor-bas= ed sensing;<br>* IoT technology for intelligent transportation and Internet= of Vehicles (IoV);<br>* Passive Wireless/RF sensing;<br>* Untraditional Mu= ltimodal Sensing, Fusion and Perception;<br>* Robot Control based on Unconv= entional Sensing;<br>* Remote, off-board sensing. <br><br><br>-------------= ------------------<br>*Important Dates*<br>Paper Submission Deadline: March= 01, 2022<br>Notification of Acceptance: May 1, 2022<br>Final Paper Submiss= ion Deadline: June 1, 2022<br>Conference Dates: October 8-12, 2022 =C2=A0 = =C2=A0<br><br>Papers submitted to this Special Session are reviewed accordi= ng to the same rules as the submissions to the regular sessions of ITSC2022= . Submissions to regular and special sessions follow identical format, inst= ructions, deadlines and procedures.<br><br>Please find more info on the ITS= C2022 website <br><a href=3D"https://www.ieee-itsc2022.org/">https://www.ie= ee-itsc2022.org/</a><br><br><br>-------------------------------<br>*Organiz= ers*<br>Letizia Marchegiani, Aalborg University, Denmark. <a href=3D"mailto= :lm@xxxxxxxx">lm@xxxxxxxx</a><br>Dimitri Ognibene, University of Milano B= icocca, IT. <a href=3D"mailto:dimitri.ognibene@xxxxxxxx">dimitri.ognibene@xxxxxxxx= unimib.it</a><br>Daniele De Martini, University of Oxford, UK. <a href=3D"m= ailto:daniele@xxxxxxxx">daniele@xxxxxxxx</a><br>Xenofon Fafou= tis, Technical University of Denmark (DTU), Denmark. <a href=3D"mailto:xefa= @xxxxxxxx">xefa@xxxxxxxx</a><br>Yan Wu, A*STAR Institute for Infocomm Research,= Singapore. <a href=3D"mailto:wuy@xxxxxxxx">wuy@xxxxxxxx<= /a><br>Matthew Gadd, University of Oxford, UK. <a href=3D"mailto:mattgadd@xxxxxxxx= obots.ox.ac.uk">mattgadd@xxxxxxxx</a><br>Shahab Heshmati-Alamdari, A= alborg University, Denmark. <a href=3D"mailto:shhe@xxxxxxxx">shhe@xxxxxxxx= k</a><br></div> --0000000000008bda6805d91578c4--