Contribution to Research the Applied Engineering Protocol to Implement a Fuzzy Regulator for Autonomous Driving of an Automotive Model Implemented in Virtual Reality

Monitoring and controlling the autonomous driving in automotive sector where high traffic density and risk factors are recorded it’s today a common trend in global research and high potential for artificial intelligence implementation. But reaching to the large scale market and the series production in the same time it’s a quite difficult problem that has to be approached and solved by engineers. The objective of the present research paper is mainly to innovate the application of a fuzzy regulator and to model a specific vehicle type in virtual reality through multidisciplinary components. It aims to implement some authentic methods for data collection, transfer and whole digital management, in the vehicle control system for automotive sector correlated with the virtual reality protocols, meaning that the algorithms and protocols of the vehicle in different conditions will be modeled and digitally tested in a special environment a priori to their implementation on full scale model. Specific objectives consist in a short technical presentation of the fuzzy regulator operational protocol for system communication method in the case of an road vehicle with autonomous driving capabilities and a practical set-up conducted in the Laboratory of Artificial Intelligence for Automotive Sector at Technical University from Cluj-N with the technical data retrieved from virtual reality tested model. Artificial intelligence applied to the control system is integrated in the model when protocols are defined in virtual reality for optimizing the driving conditions and improving the stability and steering, thus positively impacting the environment, society and autonomous vehicles.