END TO END LEARNING FOR A DRIVING SIMULATOR

END TO END LEARNING FOR A DRIVING SIMULATOR

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.

Bibliographic Details
Main Authors: V. F. Alexeev, A. I. Staravoitau, G. A. Piskun, D. V. Likhacheuski
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
machine learning
computer vision
convolutional network
end-to-end learning
keras
Online Access:https://doklady.bsuir.by/jour/article/view/970
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spelling doaj-b5b3659ff97b4f58adf3b095c3b931502021-07-28T16:19:55ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01028591969END TO END LEARNING FOR A DRIVING SIMULATORV. F. Alexeev0A. I. Staravoitau1G. A. Piskun2D. V. Likhacheuski3Belarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsConvolutional 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.https://doklady.bsuir.by/jour/article/view/970machine learningcomputer visionconvolutional networkend-to-end learningkeras
collection DOAJ
language Russian
format Article
sources DOAJ
author V. F. Alexeev
A. I. Staravoitau
G. A. Piskun
D. V. Likhacheuski
spellingShingle V. F. Alexeev
A. I. Staravoitau
G. A. Piskun
D. V. Likhacheuski
END TO END LEARNING FOR A DRIVING SIMULATOR
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
machine learning
computer vision
convolutional network
end-to-end learning
keras
author_facet V. F. Alexeev
A. I. Staravoitau
G. A. Piskun
D. V. Likhacheuski
author_sort V. F. Alexeev
title END TO END LEARNING FOR A DRIVING SIMULATOR
title_short END TO END LEARNING FOR A DRIVING SIMULATOR
title_full END TO END LEARNING FOR A DRIVING SIMULATOR
title_fullStr END TO END LEARNING FOR A DRIVING SIMULATOR
title_full_unstemmed END TO END LEARNING FOR A DRIVING SIMULATOR
title_sort end to end learning for a driving simulator
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn 1729-7648
publishDate 2019-06-01
description 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.
topic machine learning
computer vision
convolutional network
end-to-end learning
keras
url https://doklady.bsuir.by/jour/article/view/970
work_keys_str_mv AT vfalexeev endtoendlearningforadrivingsimulator
AT aistaravoitau endtoendlearningforadrivingsimulator
AT gapiskun endtoendlearningforadrivingsimulator
AT dvlikhacheuski endtoendlearningforadrivingsimulator
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