Steering Fuzzy Logic Controller for an Autonomous Vehicle

Document Type

Conference Proceeding


Autonomous vehicles can be used in variety of applications such as hazardous environment or intelligent highway system. Fuzzy logic seems to be an appropriate choice for this area. This paper proposes a fuzzy logic controller for steering an autonomous vehicle toward a target. The controller is divided into separate modules to mimic the way humans think while driving. One module drives the vehicle toward the target while another is used to avoid collision with obstacles. A separate module is designed to drive the vehicle through mazes. The last module adjusts the final orientation of the target. The paper contains several examples to demonstrate the interaction between the several modules of the controller


Automobiles; Autonomous; Collision avoidance; Fuzzy control; Fuzzy logic; Motor vehicle driving; Navigation; Obstacle avoidance; Position control; Steering; Vehicle; Vehicles – Collision avoidance systems; Vehicles; Remotely piloted


Acoustics, Dynamics, and Controls | Control Theory | Industrial Engineering | Industrial Technology | Logic and Foundations | Manufacturing | Mechanical Engineering | Systems Engineering


Conference held: Detroit, MI


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