An intelligent overtaking assistant for autonomous racing cars

dc.contributor.advisor Kumbasar, Tufan
dc.contributor.author Armağan, Ersin
dc.contributor.department Department of Control and Automation Engineering
dc.date.accessioned 2022-04-22T14:06:27Z
dc.date.available 2022-04-22T14:06:27Z
dc.date.issued 2020-07
dc.description Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2020
dc.description.abstract Nowadays, advanced driver assistance systems are becoming more popular since they are being used more and more in commercial vehicles. Interest in advanced driver assistance systems is growing because they prevent car accidents and improve driving comfort. As a solution, computational/artificial intelligence applications have been employed in the literature to design advanced driver assistance systems. Control systems such as PID controllers, fuzzy logic based controllers are also widely used for advanced driver assistance systems. Recently, the usage of fuzzy logic based control systems in the control of advanced driver assistance systems and autonomous driving systems has also increased significantly. Fuzzy logic based systems are preferred in many research areas because it is capable to imitate expert behavior even in complex systems. For example, fuzzy logic based control systems are effectively implemented especially decision-making applications, system modeling and control applications.
dc.description.degree M.Sc.
dc.identifier.uri http://hdl.handle.net/11527/20075
dc.language.iso en
dc.sdg.type Goal 9: Industry, Innovation and Infrastructure
dc.sdg.type Goal 11: Sustainable Cities and Communities
dc.sdg.type Goal 12: Responsible Consumption and Production
dc.subject advanced driver assistance systems
dc.subject artificial intelligence applications
dc.title An intelligent overtaking assistant for autonomous racing cars
dc.title.alternative Otonom yarış araçları için bir akıllı sollama asistanı
dc.type Thesis
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