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

Research output: Contribution to journalArticlepeer-review


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
Issue number5
Publication statusPublished - 30 Aug 2021
Externally publishedYes

Bibliographical note

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


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