You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.
The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.
For the reports in this repository we specifically note that
- the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
- the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
- technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
- in other cases, please contact the copyright owner for detailed information
By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.
If you are in doubt, feel free to contact webmaster@ide.mdh.se
A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies
Publication Type:
Journal article
Venue:
Wireless Personal Communications Journal
Abstract
The recent development of artificial intelligence has increased the interest of researchers and practitioners towards applying its techniques into multiple domains like automotive, health care and air space to achieve automation. Combined to these applications, the attempt to use artificial intelligence techniques into carrying out safety issues is momentarily at a progressive state. As the artificial intelligence problems are getting even more complex, large processing power is demanded for safety-critical systems to fulfill real-time requirements. These challenges can be solved through edge or cloud computing, which makes the communication an integral part of the solution. This study aims at providing a comprehensive picture of the state-of-the-art artificial intelligence-based safety solutions that uses different communication technologies in diverse application domains. To achieve this, a systematic mapping study is conducted and 565 relevant papers are shortlisted through a multi-stage selection process, which are then analyzed according to a systematically defined classification framework. The results of the study are based on these main objectives: to clarify current research gaps in the field, to identify the possibility of increased usage of cellular communication in multiple domains, to identify the mostly used artificial intelligence algorithms and to summarize the emerging future research trends on the topic. The results demonstrate that the automotive domain is the one applying artificial intelligence and communication the most to implement safety and the most used artificial intelligence in this domain is neural networks, clustering and computer vision; applying cellular communication to automotive domain is highest; the use of non-cellular communication technologies is dominant however a clear trend of a rapid increase in the use of cellular communication is observed specially from 2020 with the roll-out of 5G technology.
Bibtex
@article{Inam6335,
author = {Rafia Inam and Alberto Yukinobu Hata and Vlasjov Prifti and Sara Abbaspour},
title = {A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies},
month = {December},
year = {2021},
journal = {Wireless Personal Communications Journal},
url = {http://www.es.mdu.se/publications/6335-}
}
