Designing an Autonomous Car Using a Simulation

Designing an Autonomous Car Using a Simulation

Self-driving vehicles are one of the most awaited technology of the last century. After the developments in the field of artificial intelligence, the idea of fully autonomous cars are seemed more possible. In this project, our aim was training a model by using deep learning techniques that can drive a car on different roads. We used Convolutional Neural Network (CNN) due to its pattern recognition and feature extraction capabilities. At the end of the project, our trained model can successfully generalize its knowledge and navigates a car on a completely unknown road.

Project Poster: 

Project Members: 

Ahmet Faruk Çelimli

Project Advisor: 

H. Levent Akın

Project Status: 

Project Year: 

  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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