Special Issue "Machine Learning Techniques in Autonomous Driving"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 10 September 2023 | Viewed by 134

Special Issue Editor

Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA
Interests: machine learning applications for wireless communications; autonomous aerial vehicles; wireless channel propagation modeling; machine learning applications for smart grid; signal classification

Special Issue Information

Dear Colleagues,

The fields of advanced mobility, manufacturing and smart sensors are just a few examples of where artificial intelligence (AI) is considered a foundational technology. In addition to aiding in the resolution of today’s major social concerns, its capacity to extract meaningful information from raw data allows for the creation of novel modes of interaction between humans, vehicles and infrastructure, which also eventually leads to the autonomous aerial and ground driving. However, these opportunities mean new challenges in terms of interoperability, connectivity performance for the real-time transmission of sensor data, wireless communication delays, coordination between infrastructure sensors and on-board vehicle sensors and computational complexity. In order to cope with the existing challenges, it is envisioned that next-generation autonomous vehicles will be required a multidisciplinary effort. This includes advanced machine learning, signal processing algorithms, and hardware–software co-designed for perception of the surrounding environment, probabilistic modeling and estimation, vehicle behavior prediction, edge computing, as well as real time constraints to ensure high-level autonomy, security, robustness, and privacy, and to eliminate catastrophic events.

Technical advancements in this area of study are thought to hasten the convergence of current and developing autonomous vehicle systems, paving the way for machine-learning-based xGeneration autonomous vehicle systems. The scope of the Special Issue includes, and is not limited to, the following topics:

  • Deep learning based wireless RF spectrum management and allocation for autonomous driving;
  • Deep learning for perception and environment awareness for V2X networks;
  • Unsupervised and supervised learning for autonomous driving;
  • Real-time prediction and edge computing utilizing machine learning;
  • Investigation of 5G and Beyond systems to eliminate latency for fronthaul and backhaul communications;
  • Deep-learning-assisted coordination between on-board vehicle and infrastructure sensors;
  • Practical consideration on machine learning for autonomous driving metrics;
  • Energy- and cost-efficient deep-learning-based on-board processing such as advanced AI on-board SoC architectures for autonomous driving;
  • Incorporation of autonomous aerial and ground-based vehicles to increase situational awareness utilizing machine learning;
  • Wireless channel propagation modeling: vehicle to infrastructure, vehicle to vehicle and ground vehicle to aerial vehicles;
  • Cybersecurity for autonomous systems;
  • Enhanced transfer learning for autonomous driving.

Dr. Ali Riza Ekti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • autonomous driving
  • V2X networks
  • deep learning
  • autonomous aerial vehicles
  • autonomous ground vehicles
  • vehicle to vehicle
  • autonomous systems

Published Papers

This special issue is now open for submission.
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