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Advances in Automated Driving: Sensing and Control

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 180

Special Issue Editors


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Guest Editor
Black Sesame Technologies Inc., San Jose, CA 95134, USA
Interests: deep learning; computer vision; autonomous driving; FPGA

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Guest Editor
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Interests: computational experiments; urban rail transit; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Perception systems play a key role in autonomous driving (AD). There are a wide variety of sensors included in such systems. Cameras, radars, and lidars are the most usual ones. Radars and cameras are the preferred option in the industry in order to avoid anti-aesthetic effects on cars’ appearance. The latest ones have undergone a small revolution thanks to the application of convolutional neural networks in the image processing. 

The current scene-understanding technologies and methodologies depend on multiple sensor systems, and there is a broad variety of sensors. GPS, IMU, cameras, radars, and lidars are the most common, and they are based on highly complex and sophisticated algorithms, which include artificial intelligence. These sensors are used for localization (visual odometry, lidar odometry, 3D maps, map matching, etc.), perception (trajectory planning, scene understanding, traffic sign detection, drivable space detection, obstacle avoidance, etc.), and other applications.

The aim of this Special Issue is to achieve an insightful perspective on the latest works in these fields and to provide the reader with a clear picture of the advances that are on the horizon. Welcomed topics include, but are not strictly limited to, the following:

  • Computer vision and image processing;
  • Lidar and 3D sensors;
  • Radar and other proximity sensors;
  • Intelligent network vehicles;
  • Vehicle intelligent detection algorithms and control;
  • Automatic vehicle trajectory planning and control;
  • Infrastructure ITS applications;
  • Advanced driver assistance systems onboard vehicles;
  • Self-driving car perception and navigation systems.

Dr. Lin Bai
Prof. Dr. Fenghua Zhu
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 driving
  • computer vision
  • intelligent transportation system
  • vehicle localization
  • lidar and 3D sensors
  • advanced driver assistance systems (ADASs)

Published Papers

This special issue is now open for submission.
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