Autonomous vehicle parking using finite state automata learned by J-CC artificial neural nets

Abstract This paper presents the SEVA system (Autonomous Vehicle Parking Simulator). This tool implements a robust control system for autonomous vehicle parking based on a FSA (Finite-State Automata) and also based on FSA obtained from trained J-CC ANNs (Jordan CascadeCorrelation Artificial Neural Networks)