Dear Colleagues,

Autonomous driving (AD) refers to self-driving vehicles or any transport system 
moves without humans. Automotive systems are equipped with cameras and sensors 
to cover all the fields of view and range. Further, sensor architecture in AD 
includes multiple sets of cameras, radars, and LIDARs, as well as GPS-GNSS for 
absolute localization and inertial measurement units that provide a 3D pose of 
the vehicle in space. Representation of the environment state or scene 
understanding is utilized by a decision-making system to produce the final 
driving policy, which can be achieved by a combination of several perception or 
computer vision tasks such as semantic segmentation, motion estimation, depth 
estimation, and soiling detection. Computer vision is as a key technique in AD 
technologies. Thus, there is a need to explore new and emerging trends in 
computer vision for autonomous driving. This Special Issue aims to address the 
most up-to-date impacts of computer vision on progress autonomous driving 
research. Topics of interest include but are not limited to:

  *   New trends on vision and sensors for autonomous driving;
  *   Vision‐based traffic flow analysis and smart vehicle technologies;
  *   Vehicle trajectory prediction in autonomous driving;
  *   Vehicle classification and semantic segmentation;
  *   Traffic sign detection, recognition, and scene understanding;
  *   Detection, tracking, learning, and predicting on-road pedestrian behavior;
  *   Object detection and tracking on Fisheye cameras for autonomous driving;
  *   Unsupervised, weakly-supervised, and reinforcement deep.

Special Issue Information
https://www.mdpi.com/journal/sensors/special_issues/driving_computer_vision


Prof. Dr. M. Hassaballah
Prof. Dr. Zhengming Ding
Dr. Senthil Yogamani
Guest Editors



★☆★☆★☆★☆★☆★☆★☆☆★☆☆★☆☆★☆☆★☆☆★☆☆
M. Hassaballah, D.Eng., M.Sc., IEEE Member
Associate Professor of Computer Science
South Valley University, Qena, 83523, Egypt
Associate Editor: IET Image 
Processing<https://digital-library.theiet.org/content/journals/iet-ipr>
Academic Editor: Wireless Communications and Mobile 
Computing<https://www.hindawi.com/journals/wcmc/>

https://scholar.google.com.eg/citations?user=RPEDu_kAAAAJ&hl=en
★☆★☆★☆★☆★☆★☆★☆☆★☆☆★☆☆★☆☆★☆☆★☆☆

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