Fast-ICA Based Lane Detection Method for Autonomous Vehicles

Dogru H. B., Zengin A. T.

26th International Conference Electronics, ELECTRONICS 2022, Palanga, Lithuania, 13 - 15 June 2022 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ieeeconf55059.2022.9810405
  • City: Palanga
  • Country: Lithuania
  • Keywords: Autonomous vehicles, Deep learning, Independent component analysis, Lane detection
  • Istanbul Technical University Affiliated: No

Abstract

© 2022 IEEE.Lane detection is an important process in autonomous vehicle systems. Noise in the image, such as object shadows and terminating lane lines, make lane detection difficult. This study proposes a Convolutional Neural Network architecture with a dimension reduction method that has not been used before in lane detection. The proposed method has been tested with the open-source TuSimple dataset. The results showed that the proposed Fast-Independent Component Analysis based model training improved performance in lane detection and reduced the mean percent error by 42.2%.