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Intelligent Sensors for Smart and Autonomous Vehicles

This special issue belongs to the section “Vehicular Sensing“.

Special Issue Information

Dear Colleagues,

Autonomous vehicles (AV) must be intelligent. These, in addition to the functional algorithm programmed in the autonomous driving system, must decide for themselves at any time the next actions of the vehicle, including in safety-critical situations. In order to make these decisions which are going to take AVs toward levels 4 and 5 of driving automation (as they are defined, SAE 3016), these vehicles must have an intelligent perception system. Tasks of localization, perception, prediction, and planning of the vehicle’s current and future actions are based on the data harvested by intelligent sensors from their environment. Providing up-to-date information regarding the capabilities and limits, advantages, and disadvantages of intelligent sensors for AV would be useful for the entire community involved in the development of AVs, thus making AVs more reliable, safer, and more robust.

In this Special Issue on “Intelligent Sensors for Smart and Autonomous Vehicles” – the authors can contribute to the development of AVs by publishing Open Access papers related to intelligent sensorial systems for AV (RADAR, LIDAR, cameras, ultrasonic, GPS/GNSS, V2V etc.), fusion algorithms for harvested data by intelligent sensors, object classification techniques and mechanisms, etc. We invite authors interested in the proposed topics to contribute to this Special Issue by publishing their results of research related, but not limited, to the following topics: intelligent sensorial systems for autonomous driving; paradigms, concepts, and architectures for intelligent sensorial systems; real models vs. virtual models for intelligent sensorial systems; sensor integration and fusion for autonomous driving; intelligent proprioceptive and exteroceptive sensors; object classification by intelligent sensors; artificial intelligence algorithms; fog and edge computing for autonomous driving; cybersecurity for intelligent sensorial systems applications based on intelligent sensorial systems; the role of intelligent sensors in V2X communication.

Prof. Dr. István Barabás
Dr. Calin Iclodean
Dr. Máté Zöldy
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 250 words) can be sent to the Editorial Office for assessment.

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 sensors
  • optimized sensors
  • sensors fusion
  • sensor integration
  • imaging sensors
  • range sensors
  • inertial sensors
  • autonomous driving
  • artificial intelligence
  • machine learning
  • deep learning
  • big data processing
  • virtual reality
  • cloud computing
  • edge computing
  • fog computing

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Sensors - ISSN 1424-8220