A SYSTEMATIC MAPPING STUDY ON THE USE OF SOFTWARE BASED AI ALGORITHMS TO IMPLEMENT SAFETY USING COMMUNICATION TECHNOLOGIES

The recent development of Artificial Intelligence (AI) has increased a lot the interest of researchers and practitioners towards applying its techniques and software based AI algorithms into everyday life. Domains like automotive, health care, aerospace, etc., are benefiting from the use of AI. One of the most important aspects that technology aims to deliver is catering safety. Thus, the attempt to use AI techniques into carrying out safety issues is momentarily at a progressive state. Communication technologies have been around for many years as an essential part of society. Cellular and non-cellular communication are embracing the use of AI as well, sharing the same issues such as observing the environmental variations, learning or planning. Furthermore, multiple software based AI algorithms are trained in the cloud, where these communication technologies play a vital role. This thesis investigates the existing research performed on the use of software based AI algorithms to implement safety using different communication technologies. For this purpose, a systematic mapping study is conducted to summarize the recent publication trends and the current gaps in the field. The outcomes of this study contribute to the researchers presenting new challenges for further extensive research and to the practitioners to find new methods or tools in order to apply them to the industry