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Simulation of Lane Switching in Self-Driving Automobiles using GTA-V

Author

Listed:
  • Varshini Reddy
  • Ajith Kumar V P
  • Akshay T Patti
  • Karthik H S
  • Yuvaraju B N

Abstract

The key significance of a self-driving automobile is it is a mechanical contraption that can progress between objectives without human maneuvers, sounds exceptionally essential and clear yet, honestly, this scarcely covers the surface. For a self-driving automobile to come to affirmation, we require both gear fragments and programming packs that we compose and construct congruous with each other. In this paper, we exhibit the item points of view vital to producing a model that can make sense of how to drive an automobile in a to a great degree diverse plan of a virtual condition. To content with the software aspects of a self-driving vehicle, we make use of Convolutional Neural Networks (CNN) that works on the idea of regression at its crux. We further discuss the information outlines which shape the foundations of the proposed procedure. The process involves screen capturing by employing OpenCV while physically driving a vehicle in a PC amusement, GTA-V.

Suggested Citation

  • Varshini Reddy & Ajith Kumar V P & Akshay T Patti & Karthik H S & Yuvaraju B N, 2018. "Simulation of Lane Switching in Self-Driving Automobiles using GTA-V," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 171-176, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184634
    Note: Article URL: https://ijsrcseit.com/CSEIT184634
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