Fuzzy Logic Based Self-Driving Racing Car Control System

Korkmaz B., Etlik U. B., Beke A., Kumbasar T.

6th International Conference on Control Engineering and Information Technology (CEIT), İstanbul, Turkey, 25 - 27 October 2018 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Keywords: fuzzy logic, expert systems, self-driving car, lane tracking, JavaScript Racer, LANE DETECTION, TRACKING
  • Istanbul Technical University Affiliated: Yes


In this study, we propose a fuzzy logic based self-driving car control system and its deployment into the JavaScript Racer game. In the design of the self-driving system, it is aimed to design an intelligent vehicle control system such that the racing car finishes the race in the shortest time without getting out of the road. To accomplish such a goal, the proposed intelligent driving system takes up and merges the frameworks of control theory, fuzzy logic and computer vision. In this structure, computer vision is used for lane detection while the fuzzy logic control is employed for positioning and regulating the speed of the racing car. The paper presents in detail the structure and design of the intelligent driving system by presenting all of its design steps. The efficiency of the fuzzy logic based self-driving racing car control system is shown with results collected from the game environment.