Fuzzy logic based self-driving racing car control system

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

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
EditörlerSeref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781538676417
DOI'lar
Yayın durumuYayınlandı - Eki 2018
Etkinlik6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey
Süre: 25 Eki 201827 Eki 2018

Yayın serisi

Adı2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

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???event.eventtypes.event.conference???6th International Conference on Control Engineering and Information Technology, CEIT 2018
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot25/10/1827/10/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

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