Intelligent Parking Method for Trucks in Presence of Fixed and Moving Obstacles Randomly

Abstract

A Fuzzy approach to backward movement control for trucks in a dynamic environment is presented in this paper. The approach is then extended and employed for conditions where Obstacles randomly are placed on the truck pathway. In the first case, Obstacles randomly are assumed to be fixed, while the second condition includes moving Obstacles randomly through which the truck should be directed toward the parking dock. The method is designed in a way to be used in conditions with infinite number of Obstacles randomly at arbitrary places. In any case, to find the parking dock, the truck movement must be adapted to that of Obstacles randomly. In the present paper, two separate fuzzy controllers are used for directing the truck: one for finding the target, and the other for avoiding the Obstacles randomly. While there is no Obstacles randomly around, the target finder controller is in use; and in the cases where the truck gets close to Obstacles randomly the Obstacles randomly avoider controller is activated. The proposed method is employed for parking a truck model through fixed and moving Obstacles randomly.