Prediction of Steering Angle for Autonomous Vehicles Using Pre-Trained Neural Network

Research output: Contribution to journalArticlepeer-review

Abstract

Autonomous driving is one promising research area that would not only revolutionize the transportation industry but would as well save thousands of lives. accurate correct Steering angle prediction plays a crucial role in the development of the autonomous vehicle .This research attempts to design a model that would be able to clone a drivers behavior using transfer learning from pretrained VGG16, the results showed that the model was able to use less training parameters and achieved a low mean squared error(MSE) of less than 2% without overfitting to the training set hence was able to drive on new road it was not trained on.
Original languageEnglish
Pages (from-to)171-176
Number of pages6
JournalEuropean Journal of Engineering and Technology Research
Volume6
Issue number5
DOIs
Publication statusPublished - 30 Aug 2021
Externally publishedYes

Bibliographical note

This journal provides immediate open access to its content on the principle that making research freely available after publication on the EJ-ENG website to the public supports a greater global exchange of knowledge.

Keywords

  • Autonomous vehicles
  • Convolution neural network
  • VGG16
  • Transfer Learning

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