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Call for Papers: Artificial Intelligence and Cognitive Computing for Smart Internet of Vehicle

The rapidly increasing number of vehicles in big cities inevitably incurs traffic congestion and social burden. Internet of Vehicles (IoV) will support various applications for road safety, smart and green transportation, location-dependent services, and In-vehicle Internet access, serving as a promising technique to alleviate traffic congestion and improve road safety especially for autonomous driving. IoV combining with Artificial Intelligence (AI) will contribute to the development of intelligent transportation systems under the framework of smart city by achieving the following objectives: automation, data-centric decision making, accurate response and low accident rate. In a typical smart IoV implementation, vehicles are connected via wireless local networks, where all kinds of transportation signals are gathered to support AI-enabled decision-making process in the vehicle control system, which in turn leads to timely responses to meet operational needs of the drivers. The AI-enabled IoV signal processing also create many scientific and engineering challenges, when encountering the blooming transportation big data and spectrum access of massive vehicles. In this regard, cognitive computing enabled IoV, which integrates cognitive science and AI in vehicle platform, may achieve high efficiency in signal processing, smart traffic analysis, automatic vehicle operation, and intelligent service provisioning. Some new cognitive capabilities enhancing vehicles to adapt to complicated transportation circumstance with human-like intelligence also deserve extensive investigations by the research community. Such attributes of smart IoV call for a deep fusion of AI, cognitive computing and IoV signal processing technologies.

This special issue is to encourage researchers to present their latest work on how IoV, AI and cognitive computing work together to realize the intelligent transportation signal processing. Topics of interests include, but are not limited to:

  • AI enabled signal processing for intelligent transportation
  • AI and Cognitive Computing for IoV signal processing 
  • AI and Cognitive Computing for transportation image processing 
  • AI enabled signal processing for transportation positioning and prediction 
  • AI enabled signal processing for IoV applications and services
  • AI enabled signal processing for transportation big data
  • AI enabled signal processing for autonomous vehicles 
  • AI enabled signal processing for multi-source information fusion in IoV
  • AI enabled signal processing for decision-making process in IoV

Submission deadline: January 15, 2022


Lead Guest Editor
Prof. Xin Liu, Dalian University of Technology, China

Guest Editors
Prof. Hongjian Sun, Durham University, UK
Prof. Zhengguo Sheng, University of Sussex, UK
Prof. Edith C.H., Uppsala University, Sweden
Prof. Qiuming Zhu, Nanjing University of Aeronautics and Astronautics, China

Submission Instructions
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for EURASIP Journal on Advances in Signal Processing. The complete manuscript should be submitted through the EURASIP Journal on Advances in Signal Processing submission system. To ensure that you submit to the correct special issue please select the appropriate section in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on 'Artificial Intelligence and Cognitive Computing for Smart Internet of Vehicle'. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.Sign up for article alerts to keep updated on articles published in EURASIP Journal on Advances in Signal Processing - including articles published in this special issue!