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Intelligent Control Systems for Autonomous Vehicles

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 98

Special Issue Editors

Department of Electrical and Computer Engineering, Oakland University, Rochester, MI 48309, USA
Interests: model predictive control; reinforcement learning; connected and automated vehicles; electric vehicles; renewable energy systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Computer Engineering, Kettering University, Flint, MI 48504, USA
Interests: systems science and control theory with emphasis on vehicle health management using vehicle dynamics theory and machine learning algorithms; resilient control of autonomous vehicles

Special Issue Information

Dear Colleagues,

As autonomous vehicles continue to revolutionize the transportation landscape, this Special Issue aims to showcase innovative research at the intersection of sensor technologies and intelligent control systems. We invite researchers, engineers and experts to contribute their latest findings and methodologies that enhance the intelligence and autonomy of vehicles. Topics of interest include sensor fusion, machine learning algorithms, real-time decision-making and planning, human–machine interactions and robust control strategies. By delving into these crucial aspects, we seek to address the challenges and opportunities in developing intelligent control solutions that pave the way for safer, more efficient and reliable autonomous transportation.

This Special Issue provides a platform for interdisciplinary discussions and fosters collaboration between researchers in sensor technology and control systems. We anticipate that the collected submissions will significantly contribute to the ongoing dialogue on shaping the future of autonomous vehicles. Submissions are welcome from researchers worldwide who are at the forefront of this transformative field.

Topics include, but not limited to:

  • Autonomous vehicles;
  • Intelligent control;
  • Sensor fusion;
  • Machine learning-based vehicle sensor and control;
  • Real-time decision-making and planning;
  • Robust control;
  • Human–machine interaction;
  • Predictive control;
  • Sensor technologies;
  • Autonomous systems.

Dr. Jun Chen
Dr. Wen-Chiao Lin
Guest Editors

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. Sensors 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 2600 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
  • human–machine interaction
  • sensor fusion

Published Papers

This special issue is now open for submission.
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