2nd IEEE Connected and Automated Vehicles Symposium, Honolulu, Vereinigte Staaten

Abbrevation

IEEE CAVS

Link

http://ieee-cavs.edu.umh.es/

City

Honolulu

Country

United States

Deadline Paper

2019-05-10

Start Date

2019-09-22

End Date

2019-09-23

Abstract

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 2019 will be held on 22–23 September 2019 in Honolulu, Hawaii, co–located with IEEE VTC–2019 Fall (September 22–25, 2019, http://www.ieeevtc.org/vtc2019fall/). Standalone and combined registrations packages will be offered for IEEE CAVS and IEEE VTC2019–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 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