Fuzzy Logic Vehicle Parking System

Interest in using intelligent systems in cars is on the rise. One of the problems that drivers face that can be addressed by these high-tech solutions is finding a place to park. The proposed approach employs fuzzy inference for vehicle management and parking in a congested area. The vehicle will follow the prescribed course thanks to two parallel embedded fuzzy controllers. In this study, we introduce a smart, autonomous parking system that can perform a number of tasks. The integrated system is made up of the Fuzzy-Based On board System and the control centre. In contrast to current auto-parking efforts, this FBOS gives the vehicle the ability to recognise slots and park in two distinct parking modes. Error rates can be kept to a minimum by the use of real-time monitoring, which is enabled by the control centre.