bsuirДоклады БГУИРDoklady BGUIR1729-76482708-0382БГУИРbsuir-970Research ArticleСтатьиEND TO END LEARNING FOR A DRIVING SIMULATORAlexeevV. F.noemail@neicon.ruStaravoitauA. I.alex.staravoitau@gmail.comPiskunG. A.noemail@neicon.ruLikhacheuskiD. V.noemail@neicon.ruBelarusian state university of informatics and radioelectronicsBelarus201803062019028591Copyright © Alexeev V.F., Staravoitau A.I., Piskun G.A., Likhacheuski D.V., 20192019Alexeev V.F., Staravoitau A.I., Piskun G.A., Likhacheuski D.V.Alexeev V.F., Staravoitau A.I., Piskun G.A., Likhacheuski D.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://doklady.bsuir.by/jour/article/view/970

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.

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The authors declare that there are no conflicts of interest present.