Fuzzy logic based self-driving racing car control system

Berk Korkmaz; Ugur Bugra Etlik; Aykut Beke; Tufan Kumbasar

doi:10.1109/CEIT.2018.8751900

Fuzzy logic based self-driving racing car control system

Berk Korkmaz, Ugur Bugra Etlik, Aykut Beke, Tufan Kumbasar

Department of Control and Automation Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
Editors	Seref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538676417
DOIs	https://doi.org/10.1109/CEIT.2018.8751900
Publication status	Published - Oct 2018
Event	6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey Duration: 25 Oct 2018 → 27 Oct 2018

Publication series

Name	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

Conference

Conference	6th International Conference on Control Engineering and Information Technology, CEIT 2018
Country/Territory	Turkey
City	Istanbul
Period	25/10/18 → 27/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Expert systems
Fuzzy logic
JavaScript Racer
Lane tracking
Self-driving car

Access to Document

10.1109/CEIT.2018.8751900

Cite this

Korkmaz, B., Etlik, U. B., Beke, A., & Kumbasar, T. (2018). Fuzzy logic based self-driving racing car control system. In S. N. Engin, D. O. Arisoy, & M. A. Oz (Eds.), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018 Article 8751900 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEIT.2018.8751900

Korkmaz, Berk ; Etlik, Ugur Bugra ; Beke, Aykut et al. / Fuzzy logic based self-driving racing car control system. 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. editor / Seref Naci Engin ; Dogan Onur Arisoy ; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

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abstract = "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.",

keywords = "Expert systems, Fuzzy logic, JavaScript Racer, Lane tracking, Self-driving car",

author = "Berk Korkmaz and Etlik, {Ugur Bugra} and Aykut Beke and Tufan Kumbasar",

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Korkmaz, B, Etlik, UB, Beke, A & Kumbasar, T 2018, Fuzzy logic based self-driving racing car control system. in SN Engin, DO Arisoy & MA Oz (eds), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018., 8751900, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Institute of Electrical and Electronics Engineers Inc., 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Istanbul, Turkey, 25/10/18. https://doi.org/10.1109/CEIT.2018.8751900

Fuzzy logic based self-driving racing car control system. / Korkmaz, Berk; Etlik, Ugur Bugra; Beke, Aykut et al.
2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. ed. / Seref Naci Engin; Dogan Onur Arisoy; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. 8751900 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Korkmaz B, Etlik UB, Beke A, Kumbasar T. Fuzzy logic based self-driving racing car control system. In Engin SN, Arisoy DO, Oz MA, editors, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8751900. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). doi: 10.1109/CEIT.2018.8751900

Fuzzy logic based self-driving racing car control system

Abstract

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Bibliographical note

Keywords

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