Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pavel Belyaev"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 29, Iss 1, Pp 36-41 (2021)
This paper proposes the landmark detection system for use in unmanned vehicle based on NVIDIA Jetson embedded device. The paper describes the synthetic dataset generation and training YOLOv4 neural network using data augmentation and transfer learnin
Externí odkaz:
https://doaj.org/article/d9c908960cd4455fb5ca2854ac59d095
Robust Autonomous Vehicle Computer-Vision-Based Localization in Challenging Environmental Conditions
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5735 (2023)
In this paper, we present a novel autonomous vehicle (AV) localization design and its implementation, which we recommend to employ in challenging navigation conditions with a poor quality of the satellite navigation system signals and computer vision
Externí odkaz:
https://doaj.org/article/ed181332cc0b44ceb5af4f7305b55b95
Autor:
Roman Shatovkin, Stanislav Danilov, Anatoly Pudovkin, Yuri Panasyuk, Sergey Moskvitin, Maksim Belyaev, Larisa Varepo, Olga Trapeznikova, Alexei Hudyakov, Irina Nagornova, Pavel Belyaev
Publikováno v:
2022 Dynamics of Systems, Mechanisms and Machines (Dynamics).
Autor:
Roman Shatovkin, Stanislav Danilov, Anatoly Pudovkin, Yuri Panasyuk, Sergey Moskvitin, Maksim Belyaev, Larisa Varepo, Evgeny Trapeznikov, Evelina Bezzateeva, Oleg Trubienko, Pavel Belyaev
Publikováno v:
2022 Dynamics of Systems, Mechanisms and Machines (Dynamics).
Publikováno v:
The 5th International Conference on Future Networks & Distributed Systems.
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 29, Iss 1, Pp 36-41 (2021)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 29, Iss 1, Pp 36-41 (2021)
This paper proposes the landmark detection system for use in unmanned vehicle based on NVIDIA Jetson embedded device. The paper describes the synthetic dataset generation and training YOLOv4 neural network using data augmentation and transfer learnin
Publikováno v:
Problems of modern science and education. 53