SEVA3D: Using Arti cial Neural Networks to Autonomous Vehicle Parking Control

摘要: This paper describes the simulation system proposed in order to study and implement intelligent autonomous vehicle control. The developed can automatically drive a vehicle, implementing robust control capable of simulating realistic way parking parallel space. controls vehicles based on reading sonar sensors uses neural network generate acceleration steering commands, it controller was implemented using Jordan-Net network, results obtained our simulations demonstrated that is perfectly able correctly park different situations.