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Publication Date

Manuscript Submission Deadline

Special Issue

Call for Papers

With the great advances in Information and Communication Technologies (ICTs), autonomous driving is anticipated to significantly improve driving safety by performing intelligent operations such as collision avoidance, lane departure warning, traffic sign detection, etc., which alleviates the burden of human drivers, especially under some hostile traveling environments. In addition, by steering deceleration and acceleration of an autonomous vehicle, autonomous driving can boost fuel economy and lower emissions. With the support of autonomous driving, new transportation services for elderly people and persons with handicaps tends to be fully developed. Autonomous driving has been an emerging area to achieve the ultimate in automobile safety and comfort, which will greatly change the way we work, live, and play.

The developments of the multidisciplinary autonomous driving require state-of-the-art technologies in perception, planning, and control. Even though an autonomous vehicle is typically equipped with a powerful computing processor and various kinds of sensing devices (e.g., camera, sensor, radar, etc.), an inherent drawback of a single ICT technology in the existing autonomous driving tends to result in suboptimal performance. That enforces us to seek an integration of various ICT technologies. For example, the coordination among vehicles by vehicle-to-everything (e.g., vehicle, infrastructure, road, human, sensor) communications (V2X) can overcome the limited range of sensors and achieve cooperative maneuvering and sensing, which enables moving vehicles to quickly and accurately collect real-time road traffic information and notify neighboring vehicles of potential dangerous events. It meets the imminent demands towards reduced traffic accidents and improved road efficiency in Intelligent Transportation System (ITS). In addition, a deep learning-based approach can be utilized to detect unexpected obstacles on the road ahead, reinforcement learning can be applied to motion control and decision-making for autonomous vehicles. Integrating various ICT technologies can optimize decision-making of intelligent vehicles, and improve safety, efficiency, sustainability of transportation systems. In order to explore autonomous driving combined with the cross-domain knowledge in wireless communications, mobile computing, artificial intelligence, data processing, etc., this special issue will focus on the following subjects of interest, as well as related issues:

  • Smart sensors and sensing technologies for autonomous driving
  • Localization and navigation technologies for autonomous driving
  • Wireless communication technologies for intelligent and connected vehicles
  • Resource (e.g., spectrum resources, energy sources) management in vehicular communications
  • 5G wireless transmission technologies for intelligent and connected vehicles
  • Intra/Inter-vehicle communications for autonomous driving
  • Communication and networking architectures (e.g., 5G, SDN) for autonomous driving
  • Fog/Edge computing for autonomous driving
  • Vehicular cloud computing for autonomous driving
  • Big data analysis/mining for autonomous driving
  • Transportation data processing for autonomous driving
  • Deep/Reinforcement learning for autonomous driving
  • QoS and QoE of systems, applications, and services for autonomous driving
  • Testbed, implementation and deployment for autonomous driving
  • Security, privacy and trust in autonomous driving

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Paper Submission Guidelines.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the “August 2019: Emerging Information and Communication Technologies for Autonomous Driving” topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 1 November 2018
Initial Decision: 1 February 2019
Revised Manuscript Due: 1 March 2019
Final Decision: 1 April 2019
Final Manuscript Due: 1 May 2019
Publication Date: August 2019

Guest Editors

Guangjie Han
Hohai University, China

Yuanguo Bi
Northeastern University, China

Mohsen Guizani
University of Idaho, USA

Jaime Lloret
Universidad Politecnica de Valencia, Spain

Muhammad Imran
King Saud University, Saudi Arabia

Ammar Rayes
Cisco Systems, USA

Kanke Gao
Velodyne Lidar, Inc., USA