END TO END LEARNING FOR A DRIVING SIMULATOR
Аннотация
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.
Об авторах
V. Alexeev
Belarusian state university of informatics and radioelectronics
Беларусь
Беларусь
A. Staravoitau
Belarusian state university of informatics and radioelectronics
Беларусь
Беларусь
G. Piskun
Belarusian state university of informatics and radioelectronics
Беларусь
Беларусь
D. Likhacheuski
Belarusian state university of informatics and radioelectronics
Беларусь
Беларусь
Список литературы
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Рецензия
Для цитирования:
, , , . Доклады БГУИР. 2018;(2):85-91.
For citation:
Alexeev V.F., Staravoitau A.I., Piskun G.A., Likhacheuski D.V. END TO END LEARNING FOR A DRIVING SIMULATOR. Doklady BGUIR. 2018;(2):85-91. (In Russ.)
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