Fwd: [TCCC-ANNOUNCE] CFP: 3rd IEEE Connected and Automated Vehicles Symposium 2020
-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: 3rd IEEE Connected and Automated Vehicles Symposium 2020 Datum: Tue, 26 May 2020 15:53:54 +0000 Von: Gozalvez Sempere, Javier Manuel j.gozalvez@UMH.ES Antwort an: Gozalvez Sempere, Javier Manuel j.gozalvez@UMH.ES An: tccc-announce@COMSOC.ORG
------------------------------------------------------------------------------------------------------------- 3rd IEEE Connected and Automated Vehicles Symposium (IEEE CAVS 2020)
Full paper submission: June 15, 2020 4-5 October 2020, Victoria, Canada, https://events.vtsociety.org/ieee-cavs-2020/ -------------------------------------------------------------------------------------------------------------- With the advances in computing and communication technologies, vehicle technology has entered a new era of connected and automated vehicles (CAVs). The host of technologies that are required to enable CAVs are many and span several engineering and science disciplines. This symposium aims to bring together researchers who are working on different aspects of CAVs. IEEE CAVS is a symposium for reporting advances in all aspects of CAVs, including theory, tools, protocols, networks, applications, systems, test-beds and field deployments. IEEE CAVS 2020 will be held on 4-5 October 2020 in Victoria, Canada, co-located with IEEE VTC-2020 Fall (October 4-7, 2020, https://events.vtsociety.org/vtc2020-fall/). Standalone and combined registrations packages will be offered for IEEE CAVS and IEEE VTC2020-Fall events. Areas of interest include (but are not limited to) the following: - Autonomous driving - Motion Planning, Decision-Making, and Controls for CAVs - Vehicular networks. V2V, V2I and V2X communications - ADAS technologies, systems and applications - Artificial Intelligence and Machine Learning for CAVs - 5G and Beyond for connected and automated vehicles - In-vehicle communications - Sensing, detection, and actuation - Formal Methods and Model Checking in Autonomous Driving - Multi-CAV Coordination - Multi-sensor fusion - Mapping and localization - Vision and environment perception - In-car electronics and embedded software, OS and systems - Networked automotive cyber-physical systems - Automotive IoT - Vehicular and transportation data analytics - Automotive cybersecurity, liability and privacy - Smart and shared mobility systems and applications - Coexistence of CAVs, automated, connected and conventional/legacy vehicles - Connected and automated vehicle safety applications - Cooperative driving and cooperative perception/sensing - Impact of CAVs on transport safety, traffic management, characterization and prediction - Computer aided modeling, simulation, verification - Field trials - Standards development, business models, policies - Human factors, human machine interfaces and Human-Vehicle Interaction - Emotion detection in self-driving vehicles - CAVs and vulnerable road users Prospective authors are invited to submit 5-page, original, and unpublished full papers. Manuscripts should be formatted according to IEEE two-column conference style, including figures and references. You can find the template at the Authors/CFP section in https://events.vtsociety.org/ieee-cavs-2020/ Manuscripts should be submitted through Trackchair: https://ieee-cavs2020.trackchair.com/ All submissions will undergo peer-review by subject matter experts, and the full paper version of accepted submissions will be published in the conference proceedings and submitted to IEEE Xplore (conditional on presentation at the conference). Standalone and combined registrations packages will be offered for IEEE CAVS and IEEE VTC2020-Fall events. ______________________________________________________________ IEEE Communications Society Tech. Committee on Computer Communications http://committees.comsoc.org/tccc/ TCCC Announce: For announcements concerning computer networking and communications. tccc-announce@comsoc.org https://comsoc-listserv.ieee.org/
participants (1)
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Lars Wolf