Personal and Ubiquitous Computing
Amit K. Gupta
Rolls-Royce Electrical, Singapore
OntarioTech University, Canada
The last decade witnessed increasingly rapid progress in self-driving vehicle technology based on advances in deep learning and artificial intelligence.
However there are significant challenges to overcome before autonomous vehicles become ubiquitous.
These include, amongst others, improving driving scene perception, path planning, behavior arbitration and motion control, which will be addressed through Improved AI-based self-driving architectures based on convolutional and recurrent neural networks or deep reinforcement learning.
But there there are many other issues including the social impacts of autonomous vehicles, cybersecurity for vehicles and the challenges of ensuring autonomous vehicle safety.
This issue will contain state-of-the-art research contributions on model development, policy design, and system optimization for autonomous vehicles.
Topics of interest include but are not limited to:
Impacts of autonomous vehicles on social interactions
Software architectures for autonomous vehicles
Augmented Reality and Virtual Reality for autonomous vehicles
Modeling, detection and estimation of cyber attacks for autonomous vehicles
Development of new safety indicators and safety measures for connected and automated vehicles in mixed traffic.
Submissions should be original papers and should not be under consideration for publication elsewhere.
Extended versions of papers from relevant conferences and workshops are invited as long as the additional contribution is substantial (at least 30% of new content).
Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at
For more information visit the
Springer Nature Information for journal Article Authors
During the first submission step in Editorial Manager select
as the article type. In further steps, you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.
All papers will be peer-reviewed.
Submission due date:
28 February 2022
30 April 2022
Submission of revised manuscript:
15 June 2022
Notification of the re-review:
15 July 2022
15 August 2022