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Advanced AI Technologies for Positioning and Perception in Autonomous Electric Vehicles

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 90

Special Issue Editors


E-Mail Website
Guest Editor
Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, China
Interests: electric vehicles; vehicle dynamics; autonomous driving; robotics

E-Mail Website
Guest Editor
Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3TU, UK
Interests: autonomous driving, electric vehicles and intelligent systems; new generation clean propulsion control and optimisation; digital modelling and simulation; intelligent transportation system and artificial intelligence (AI) in engineering practice
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid advancement of artificial intelligence (AI) is transforming the landscape of electric vehicles (EVs) and autonomous driving, particularly in the areas of positioning and perception. This Special Issue aims to gather recent research and innovations that leverage AI to enhance the accuracy, reliability, and efficiency of positioning and perception systems in autonomous electric vehicles.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • AI-based algorithms for precise positioning in autonomous EVs;
  • Machine learning and deep learning approaches for vehicle perception;
  • Sensor fusion techniques enhanced by AI for improved situational awareness;
  • AI-driven object detection and classification for autonomous driving;
  • Real-time processing and decision making using AI in EVs;
  • Autonomous navigation systems integrating AI for better positioning accuracy;
  • Impact of AI on the energy efficiency and performance of autonomous electric vehicles;
  • Safety and reliability improvements in autonomous driving through AI-based perception systems;
  • Case studies and simulations of AI-enhanced positioning and perception in EVs;
  • Future trends and challenges in AI applications for autonomous driving and electric vehicles.

Dr. Di Zhao
Dr. Yuanjian Zhang
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

  • intelligent vehicles
  • positioning and navigation
  • autonomous driving
  • road–vehicle cooperative control
  • sensing or computer vision
  • AI

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Published Papers

This special issue is now open for submission.
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