Fuzzy control of autonomous vehicle navigation utilizing an electrostatic potential fieldFuzzy control of autonomous vehicle navigation utilizing an electrostatic potential field Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-081998enA two-layered fuzzy controller, combined with an electrostatic potential field path planner is created to implement navigation of an autonomous mobile vehicle in a dynamic 2D environment. The potential field guarantees a near-optimal path in a static environment. The fuzzy control implements sensor fusion as well as low level control to ensure that the path generated is followed as long as collisions with both moving and non-moving obstacles are avoided. The first layer fuzzy inference engine provides a model for fusion of the multiple sensor inputs. The second layer fuzzy controller performs collision avoidance with dynamic obstacles while following the trajectory defined by the potential field. The proposed method is illustrated through experimentshttp://creativecommons.org/licenses/by/4.0/658 - 662IEEE International Conference on Control Application Tsourveloudis Nikolaos Τσουρβελουδης Νικολαος K. P. Valavanis T.Hebert IEEE Projects, Physics physics projects projects physics Electrostatic