Electric Vehicle Autonomous Driving Control

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Guest Editor
Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), H-1111 Budapest, Hungary
Interests: vehicle dynamics; robust control; machine learning-based control; state estimation
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Special Issue Information

Dear Colleagues,

In recent years, the development of fully electric vehicles has become the primary focus of the automotive industry. Electric vehicles also provide a solid platform for autonomous driving due to their lower complexity compared to traditional, combustion engine-based vehicles. However, in order to reduce the manufacturing cost, expensive sensors must be avoided. Therefore, the control and estimation algorithms employed must be robust enough to deal with the inaccuracy of low-cost sensors.

This Special Issue focuses on the following problems:

  1. The lateral and longitudinal control of autonomous vehicles, which can extend the operational range of fully electric vehicles.
  2. Battery management and look-ahead control strategies.
  3. The estimation of the non-measurable or costly measurable states of the vehicle.

This Special Issue also welcomes the submission of both theoretical and experimental unpublished results.

Dr. Daniel Fenyes
Guest Editor

Manuscript Submission Information

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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. World Electric Vehicle Journal is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • control of autonomous vehicles
  • battery management
  • look-ahead control
  • state estimation
  • robust control
  • machine learning techniques

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Published Papers (1 paper)

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Research

11 pages, 212 KiB  
Article
Ethical Considerations of the Trolley Problem in Autonomous Driving: A Philosophical and Technological Analysis
by Hao Zhan and Dan Wan
World Electr. Veh. J. 2024, 15(9), 404; https://doi.org/10.3390/wevj15090404 - 4 Sep 2024
Viewed by 2181
Abstract
The trolley problem has long posed a complex ethical challenge in the field of autonomous driving technology. By constructing a general trolley problem model, this paper demonstrates that the default loss assumption is a necessary condition for the occurrence of trolley problems. However, [...] Read more.
The trolley problem has long posed a complex ethical challenge in the field of autonomous driving technology. By constructing a general trolley problem model, this paper demonstrates that the default loss assumption is a necessary condition for the occurrence of trolley problems. However, an analysis of the differences between classical trolley problems and autonomous driving scenarios reveals that this assumption is not supported in the design of autonomous driving systems. This paper first provides a detailed definition of the trolley problem within the context of autonomous driving technology and establishes a general trolley problem model to better analyze the issue. We then discuss two solutions: the first solution acknowledges the existence of the trolley problem in the context of autonomous driving technology but does not recognize the existence of a “most acceptable decision”; the second solution denies that decision-makers are limited to a finite number of decisions, each resulting in a corresponding loss. Based on the second solution, we propose a “sufficient time” solution, illustrating that the interaction between planning and control systems in autonomous driving can avoid ethical dilemmas similar to the trolley problem. Finally, we analyze from a philosophical perspective why the trolley problem does not arise in the context of autonomous driving technology and discuss the ethical responsibilities associated with autonomous driving. The design goal of autonomous driving technology should be a zero-accident rate, which contradicts the unavoidable loss assumption in the traditional trolley problem. Therefore, the existence of the trolley problem is unrealistic in the practical application of autonomous driving technology. Full article
(This article belongs to the Special Issue Electric Vehicle Autonomous Driving Control)
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