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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30900
Title: End to end learning for a driving simulator
Authors: Alexeev, V. F.
Staravoitau, A. I.
Piskun, G. A.
Likhacheuski, D. V.
Алексеев, В. Ф.
Пискун, Г. А.
Лихачевский, Д. В.
Keywords: доклады БГУИР
machine learning
computer vision
convolutional network
end-to-end learning
Keras
Issue Date: 2018
Publisher: БГУИР
Citation: End to end learning for a driving simulator / V. F. Alexeev and others // Доклады БГУИР. - 2018. - № 2 (112). - С. 85 - 91.
Abstract: Convolutional network approach is utilized for training an end-to-end model that would let a car drive itself around the track in a driving simulator by predicting steering angles based on the simulated camera data.
URI: https://libeldoc.bsuir.by/handle/123456789/30900
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