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Autonomous control system prototype for GAZ A65R32
Author(s) -
M. I. Tiurikov,
N. V. Malinin,
T. S. Evdokimova,
A. A. Sinodkin,
L.O. Fedosova
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/695/1/012006
Subject(s) - computer science , state (computer science) , control (management) , artificial intelligence , control system , current (fluid) , human–computer interaction , control engineering , systems engineering , engineering , electrical engineering , algorithm
The article presents current state of development of autonomous control system prototype for GAZ A65R32. The solutions for mapping and localization, planning, used sensors, as well as the applied methods of computer vision and deep learning and the methods used to transfer data in the system are described.

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