Intelligent Car Park Assist Using Fish Swarm Algorithm

In this paper a novel Intelligent Car Park Assist System is presented that uses an Evolutionary Computation method called “Fish Swarm Algorithm” or FSA, inspired from the behavior of schools of fish. The work focuses on the “parallel park” problem where a car needs to park between two already parked cars with a gap between them. The modeled car adopts the Ackermann model for moving, and has to complete the park task in 3 moves. Every move consists of steering the wheel at an angle and moving the car at a specific distance. For finding the optimal car moves to park successfully, a paradigm of the FSA algorithm is used. Simulation results confirm both the modelling soundness and the optimization capabilities of the FSA method.