This document presents research on multivariate prediction of the correct lane for an autonomous electric vehicle using deep learning models. It uses the Udacity open source simulator and behavioral cloning with Keras (T…
This document presents research on multivariate prediction of the correct lane for an autonomous electric vehicle using deep learning models. It uses the Udacity open source simulator and behavioral cloning with Keras (TensorFlow backend), comparing multiple CNN-based architectures and concluding that model 2 performed best after 60 epochs with least loss = 0.007.
Assistant Lecturer
Research in Autonomous Electric Vehicle Control
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