[robotics-worldwide] [meetings] 2nd IEEE Connected and Automated Vehicles Symposium (IEEE CAVS 2019)

Yue Wang wangyueyue1 at gmail.com
Tue Feb 26 06:35:55 PST 2019


2nd IEEE Connected and Automated Vehicles Symposium (IEEE CAVS 2019)       

22–23 September 2019, Honolulu, Hawaii, USA             




Full paper submission: April 15, 2018   


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,
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ieeevtc.org_vtc2019fall_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=R7JVdo8pFfMyrWPoL5Es_ZLrVT9TuiPq-Ji_FzF_w3Y&s=yOmU20f7ErdlHIAlMfhjdWzoSqEiCV9Ddk0PDE0eVmQ&e=). 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         


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 CFP section in https://urldefense.proofpoint.com/v2/url?u=http-3A__ieee-2Dcavs.org_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=R7JVdo8pFfMyrWPoL5Es_ZLrVT9TuiPq-Ji_FzF_w3Y&s=0TqYu5VNTIRl5zaksuQ-ZANNciwO-lpogjfAVgcFWbY&e= Manuscripts should be
submitted through Trackchair:


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
in-person presentation at the conference). Standalone and combined
registrations packages will be offered for IEEE CAVS and IEEE VTC2019-Fall


General Co-Chairs         

Javier Gozalvez, Universidad Miguel Hernandez de Elche, Spain            

Yaser P. Fallah, University of Central Florida, USA          

Cem Seraydar, General Motors, USA 

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