Dear all, the deadline for the *IEEE ITSC 2018 Special Session *Beyond Traditional Sensing for Intelligent Transportation** to take place in Maui, Hawaii, has been extended to May 1st!
More information can be found here: https://goo.gl/33EBWY We look forward to your contributions. Best wishes, Letizia ------------------------------------------------------------ ----------------------------------------------- CALL FOR PAPERS: *ITSC 2018 - The 21st IEEE International Conference on Intelligent Transportation *Systems. November 4-7, 2018 , Maui, Hawaii, USA. ------------------------------- Special session on *Beyond Traditional Sensing for Intelligent Transportation* Submission code:* SS_BEYO* ------------------------------- 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 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 and audio for failure detection. 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 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 modelling (e.g. sound-based failure detection, and terrain/road surface status classification) * Soundscape perception and interpretation * 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 for failure detection, driver behaviour, etc. * Far infrared sensing * Texture odometry * Novel sensor hardware and designs * Unconventional sensor placements or multi-sensor systems * Optimal sensor scheduling and control in complex multi-agent environments * Astronomical (skyward-facing) sensing for localisation * Atmospheric or odor-based sensing ------------------------------- *Important Dates* *Paper Submission Deadline: May 1, 2018* Notification of Acceptance: July 2, 2018 Final Paper Submission Deadline: September 09, 2018 Conference Dates: November 4-7, 2018 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 ITSC2018. Authors who submit papers to this session are required to use the *Special Session CODE (SS_BEYO)* when submitting their article. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures. Please find more info on the ITSC2018 website https://www.ieee-itsc2 018.org/information-for-authors.html . ------------------------------- *Organizers* Letizia Marchegiani, University of Oxford, UK. leti...@robots.ox.ac.uk Sarah Huiyi Cen, University of Oxford, UK. sa...@robots.ox.ac.uk Dimitri Ognibene, University of Essex, UK. dimitri.ognib...@essex.ac.uk Damien Vivet, ISAE-SUPAERO, FR. damien.vi...@isae-supaero.fr
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