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 language | English |
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Pages (from-to) | 171-176 |
Number of pages | 6 |
Journal | European Journal of Engineering and Technology Research |
Volume | 6 |
Issue number | 5 |
DOIs | |
Publication status | Published - 30 Aug 2021 |
Externally published | Yes |
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