Autonomous Driving: Advancements in Cognitive Perception Systems for Increased Level Autonomy, Volume II

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 301

Special Issue Editors

Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
Interests: cognition and perception; active vision; human-aware SLAM and navigation; safe manipulation; social robots; robot behavior; human–robot collaboration; autonomous vehicles
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Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue “Autonomous Driving: Advancements in Cognitive Perception Systems for Increased Level Autonomy” (https://www.mdpi.com/journal/machines/special_issues/autonomy_driving), we are pleased to announce the next in the series, titled “Autonomous Driving: Advancements in Cognitive Perception Systems for Increased Level Autonomy, Volume II.” 

In recent decades, research on autonomous driving technologies enabled the automotive industry to introduce vehicles equipped with Advanced Driver Assistance Systems (ADAS) to the market. These systems render the daily driving experience safer and more attractive to humans. The majority of the existing assistive driving solutions are ranked between Level-1 and Level-3 autonomy, which involves mainly supportive systems. However, no one in the industry is even close to attaining Level-4 and Level-5 autonomy, a challenge that demands vehicles’ operation in any road network and weather conditions. It is evident that reaching the ultimate level of autonomous operation (Level-5 autonomy) necessitates future vehicles being endorsed with advanced perception and cognition capabilities that will allow them to cope with urban, rural, and semi-structured environments. Recent advancements in sensors provided 3D data that further augment the perception capabilities of autonomous vehicles, while the machine learning society released powerful neural networks that amplify the vehicle’s awareness regarding its surroundings. However, few such approaches reached mass production—mainly due to the fact that such solutions typically require the existence of an abundance of data to train the respective models and powerful computational units, which hinders their adoption in the automotive industry.

This Special Issue focuses on the recent advances in perception and cognition technologies for autonomous vehicles. Scientists are encouraged to submit their outstanding work towards addressing this issue, focusing on (but not limited to) the topics listed below:

  • semantic segmentation of urban and/or rural environments;
  • efficient navigation in urban environments;
  • navigation in semi-structured and GPS-denied areas;
  • trajectory planning and following for narrow areas;
  • vehicle cognitive reaction methods;
  • pedestrian detection;
  • localization and navigation in parking areas;
  • hybrid SLAM applications;
  • collision avoidance and safe vehicle reactions;
  • adaptive decision-making and dependable behavior;
  • light, deep learning for autonomous driving;
  • decentralized control schemes for driverless vehicles;
  • fleet management systems for self-driving vehicles;
  • driverless vehicles in supply chains and logistics.

Research, position, and survey papers are welcome, in addition to papers proposing new datasets and novel evaluation methods.

Prof. Dr. Antonios Gasteratos
Dr. Ioannis Kostavelis
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. Machines is an international peer-reviewed open access monthly 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.

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