Special Issue “Artificial Intelligence for Connected and Automated Vehicles”

Applied Sciences (MDPI, ISSN 2076-3417, IF 2.47).

Deadline for manuscript submissions: 10 November 2021

https://www.mdpi.com/journal/applsci/special_issues/Applications_of_Artificial_Intelligence_for_Connected

Dear Colleagues,

Connected and automated vehicles (CAVs) will provide greater transport convenience and interconnectivity, increase mobility options, and reduce traffic accidents, congestion and emissions by exploiting Artificial Intelligence and communication technologies. At the same time, major barriers towards the public deployment of CAVs and the realization of smart cities exist, including the safety evaluation and validation of Artificial Intelligence-based vehicle functions. This Special Issue aims to bring together recent advances in methods and tools in the areas of machine learning, deep learning and computer vision, knowledge discovery, forecasting, as well as testing and validation to make connected and automated vehicles efficient and safe. We particularly invite contributions that identify and provide insight into the limitations of Artificial Intelligence-based techniques for connected and automated vehicles and/or advance the state of the art by breaking existing limitations.

Guest Editors

Prof.  Stratis Kanarachos

Prof. Aristotelis Naniopoulos

Dr. Dimitrios Nalmpantis

Prof. Vasile Palade

Dr. Islam Babaev

Keywords

Machine Learning

Deep Neural Networks

Computer Vision

Connected Vehicles

Automated Vehicles

CAV testing and validation

Big Data

Smart Cities