Subject: [AUDITORY] CFP: IEEE ITSC2022 - Beyond Traditional Sensing for Intelligent Transportation - special session From: Letizia Marchegiani <m.letizia.marchegiani@xxxxxxxx> Date: Mon, 31 Jan 2022 21:13:41 +0100--00000000000056f82305d6e66cff Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Dear all, We are working on the proposal for the 5th Edition of our special session on "Beyond Traditional Sensing for Intelligent Transportation" at ITSC 2022 - the 25th IEEE International Conference on Intelligent Transportation Systems (https://www.ieee-itsc2022.org/). *We are looking for contributions to include in our proposal. * 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; * Novel sensor hardware and designs; * Unconventional sensor placements or multi-sensor systems; * Optimal sensor scheduling; * Astronomical (skyward-facing), atmospheric or odour-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. Organisation committee: ------------------------------- 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 ------------------------------- ------------------------------- Important Dates: ------------------------------- Deadline for the expression of interest is February 10, 2022. Deadline for paper submission is March 1st, 2022. Please, get in touch with us if you are interested in submitting a paper to our session or if you would like to have further information. Looking forward to your contributions. Best wishes, Letizia (on behalf of the organisation committee) *-------------------------------------------------------Letizia Marchegiani, PhDAssistant ProfessorDepartment of Electronic SystemsAalborg UniversityFredrik Bajers Vej 79220 Aalborg =C3=98Denmarkhttps://letizia-marchegiani.github.io/ <https://letizia-marchegiani.github.io/>* --00000000000056f82305d6e66cff Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Dear all, =C2=A0<br><br>We are working on the proposal for= the 5th Edition of our special session on "Beyond Traditional Sensing= for Intelligent Transportation" at ITSC 2022 - the 25th IEEE Internat= ional Conference on Intelligent Transportation Systems (<a href=3D"https://= www.ieee-itsc2022.org/">https://www.ieee-itsc2022.org/</a>). =C2=A0<br><br>= <i>We are looking for contributions to include in our proposal. =C2=A0<br><= /i><br>Over the past few decades, sensors have not only become more advance= d but also made impressive strides across an increasing number of sensing m= odalities. Despite the improved capabilities and breadth of available senso= r systems, those used for intelligent transportation have remained relative= ly uniform across platforms; as a result, the algorithms and techniques bei= ng designed do not take full advantage of the rich information modern senso= rs can provide. Since all tasks -- including perception, localisation, deci= sion-making, and learning -- are built on top of sensing, exploring alterna= tive approaches to sensing is a compelling research area that can render al= l subsequent tasks more robust and accurate. <br><br>The objective of this = special session is to explore unconventional sensing for intelligent transp= ortation in three ways. Firstly, it will investigate sensor systems that ar= e 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 configur= ations and placements, such as ground-facing cameras using shadows to detec= t occluded moving objects. Lastly, it will look into the sensing of commonl= y overlooked information, such as the use of atmospheric sensors for gaugin= g road surface traction or in-vehicle sensors for driving analysis. Via the= se three themes, this special session aims to stimulate discussion and rese= arch into untraditional sensing in order to improve the reliability and acc= uracy of transportation systems. <br><br>Topics of interest include, but ar= e not limited to: <br><br>=C2=A0 =C2=A0 * Localisation and navigation using= radars (e.g., scanning, Doppler, and ground penetrating); =C2=A0 <br>=C2= =A0 =C2=A0 * Ego-noise and soundscape modelling and interpretation (e.g., s= ound-based failure detection, terrain/road surface status classification, u= rban sound source detection and localisation);<br>=C2=A0 =C2=A0 * Unconvent= ional optical sensors for localisation and perception in challenging scenar= ios (e.g. event-based vision, multi-spectral imaging) =C2=A0 <br>=C2=A0 =C2= =A0 * In-vehicle sensing and wearable computing for failure detection, driv= er and passenger behaviour modelling; =C2=A0 <br>=C2=A0 =C2=A0 * Novel sens= or hardware and designs; =C2=A0 <br>=C2=A0 =C2=A0 * Unconventional sensor p= lacements or multi-sensor systems; =C2=A0 <br>=C2=A0 =C2=A0 * Optimal senso= r scheduling; =C2=A0 <br>=C2=A0 =C2=A0 * Astronomical (skyward-facing), atm= ospheric or odour-based sensing; =C2=A0 <br>=C2=A0 =C2=A0 * IoT technology = for intelligent transportation and Internet of Vehicles (IoV); =C2=A0 <br>= =C2=A0 =C2=A0 * Passive Wireless/RF sensing; =C2=A0<br>=C2=A0 =C2=A0 * Untr= aditional Multimodal Sensing, Fusion and Perception; =C2=A0<br>=C2=A0 =C2= =A0 * Robot Control based on Unconventional Sensing; =C2=A0<br>=C2=A0 =C2= =A0 * Remote, off-board sensing. <br><br>Organisation committee: =C2=A0<br>= ------------------------------- <br>Letizia Marchegiani, Aalborg University= , Denmark. <a href=3D"mailto:lm@xxxxxxxx">lm@xxxxxxxx</a> <br>Dimitri Ogn= ibene, University of Milano Bicocca, IT. <a href=3D"mailto:dimitri.ognibene= @xxxxxxxx">dimitri.ognibene@xxxxxxxx</a> <br>Daniele De Martini, Universi= ty of Oxford, UK. <a href=3D"mailto:daniele@xxxxxxxx">daniele@xxxxxxxx= .ox.ac.uk</a> <br>Xenofon Fafoutis, 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= r.edu.sg">wuy@xxxxxxxx</a> <br>Matthew Gadd, University of Oxford,= UK. <a href=3D"mailto:mattgadd@xxxxxxxx">mattgadd@xxxxxxxx</= a> <br>Shahab Heshmati-Alamdari, Aalborg University, Denmark. <a href=3D"ma= ilto:shhe@xxxxxxxx">shhe@xxxxxxxx</a> <br><br>---------------------------= ---- <br>------------------------------- <br><br>Important Dates: =C2=A0<br= >------------------------------- <br>Deadline for the expression of interes= t is February 10, 2022. =C2=A0<br>Deadline for paper submission is March 1s= t, 2022. =C2=A0<br><br>Please, get in touch with us if you are interested i= n submitting a paper to our session or if you would like to have further in= formation. =C2=A0<br><br>Looking forward to your contributions. =C2=A0<br><= br>Best wishes, =C2=A0<br>Letizia <br>(on =C2=A0behalf of the organisation = committee) <br><br><br><i>-------------------------------------------------= ------<br>Letizia Marchegiani, PhD<br>Assistant Professor<br>Department of = Electronic Systems<br>Aalborg University<br>Fredrik Bajers Vej 7<br>9220 Aa= lborg =C3=98<br>Denmark<br><a href=3D"https://letizia-marchegiani.github.io= /">https://letizia-marchegiani.github.io/</a></i></div> --00000000000056f82305d6e66cff--