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Electronics
Special Issues
Autonomous and Connected Vehicles
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Autonomous and Connected Vehicles

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

Deadline for manuscript submissions: 30 November 2024 | Viewed by 873

Special Issue Editor

Dr. Piotr Borkowski

E-Mail Website
Guest Editor
Faculty of Computer Science and Telecommunications, Maritime University of Szczecin, 70500 Szczecin, Poland
Interests: artificial intelligence in navigation; computer science in navigation; automation and control systems in navigation; control of ship motion; autonomous ships

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to bring together researchers and practitioners involved in the autonomous vehicles field. Autonomy in vehicles is broadly understood as connected vehicles, vehicles with navigational decision support system, vehicles with a limited crew, remotely controlled vehicles, and fully autonomous vehicles. In this Special Issue, articles describing innovative discoveries, methods, systems, and solutions that impact the advancement of vehicle autonomy, especially in the field of navigation, are welcomed.

As part of this Special Issue, we plan to publish selected papers presented at the 13th International Scientific and Technical Conference, EXPLO-SHIP 2024.

The topics of particular interest include, but are not limited to:

  • Autonomous vehicles;
  • Connected vehicles;
  • Autonomous navigation;
  • The application of artificial intelligence methods in autonomous vehicles;
  • Autonomous vehicle control systems;
  • Expert systems in autonomous vehicles;
  • Navigational decision support system;
  • Computational mathematics in navigation;
  • Cybersecurity in autonomous vehicles.

Dr. Piotr Borkowski
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 2400 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.

Keywords

  • autonomous vehicles
  • connected vehicles
  • autonomous navigation
  • artificial intelligence
  • control systems
  • expert systems
  • decision support system
  • computational mathematics
  • cybersecurity

Published Papers (1 paper)

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Research

18 pages, 1111 KiB  
Article
Control Performance Requirements for Automated Driving Systems
by Trevor Vidano and Francis Assadian
Electronics 2024, 13(5), 902; https://doi.org/10.3390/electronics13050902 - 27 Feb 2024
Viewed by 555
Abstract
This research investigates the development of risk-based performance requirements for the control of an automated driving system (ADS). The proposed method begins by determining the target level of safety for the virtual driver of an ADS. The underlying assumptions are informed by existing [...] Read more.
This research investigates the development of risk-based performance requirements for the control of an automated driving system (ADS). The proposed method begins by determining the target level of safety for the virtual driver of an ADS. The underlying assumptions are informed by existing data. Next, geometric models of the road and vehicle are used to derive deterministic performance levels of the virtual driver. To integrate the risk and performance requirements seamlessly, we propose new definitions for errors associated with the planner, pose, and control modules. These definitions facilitate the derivation of stochastic performance requirements for each module, thus ensuring an overall target level of safety. Notably, these definitions enable real-time controller performance monitoring, thus potentially enabling fault detection linked to the system’s overall safety target. At a high level, this approach argues that the requirements for the virtual driver’s modules should be designed simultaneously. To illustrate this approach, this technique is applied to a research project available in the literature that developed an automated steering system for an articulated bus. This example shows that the method generates achievable performance requirements that are verifiable through experimental testing and highlights the importance in validating the underlying assumptions for effective risk management. Full article
(This article belongs to the Special Issue Autonomous and Connected Vehicles)
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