| Форма представления | Тезисы и материалы конференций в зарубежных журналах и сборниках |
| Год публикации | 2020 |
| Язык | английский |
|
Закиев Ауфар Азатович, автор
Магид Евгений Аркадьевич, автор
Цой Татьяна Григорьевна, автор
Шабалина Ксения Сергеевна, автор
|
| Библиографическое описание на языке оригинала |
Zakiev A., Tsoy T., Shabalina K., Magid E., Saha S.K. Virtual Experiments on ArUco and AprilTag Systems Comparison for Fiducial Marker Rotation Resistance under Noisy Sensory Data // Proceedings of the International Joint Conference on Neural Networks (IJCNN) (Glasgow, Scotland; 19-24 July 2020) - p. 1-6. |
| Аннотация |
Proceedings of the International Joint Conference on Neural Networks |
| Ключевые слова |
experimental, comparison, fiducial marker system, Gazebo, recognition algorithms, robotics, ROS |
| Название журнала |
Proceedings of the International Joint Conference on Neural Networks
|
| URL |
https://ieeexplore.ieee.org/document/9207701 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=248648 |
| Файлы ресурса | |
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Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Закиев Ауфар Азатович |
ru_RU |
| dc.contributor.author |
Магид Евгений Аркадьевич |
ru_RU |
| dc.contributor.author |
Цой Татьяна Григорьевна |
ru_RU |
| dc.contributor.author |
Шабалина Ксения Сергеевна |
ru_RU |
| dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2020 |
ru_RU |
| dc.identifier.citation |
Zakiev A., Tsoy T., Shabalina K., Magid E., Saha S.K. Virtual Experiments on ArUco and AprilTag Systems Comparison for Fiducial Marker Rotation Resistance under Noisy Sensory Data // Proceedings of the International Joint Conference on Neural Networks (IJCNN) (Glasgow, Scotland; 19-24 July 2020) - p. 1-6. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=248648 |
ru_RU |
| dc.description.abstract |
Proceedings of the International Joint Conference on Neural Networks |
ru_RU |
| dc.description.abstract |
Modern robotic researches propose various machine vision methods for accomplishing robotic tasks. The recognition quality in these tasks is very important for successful performance. A large number of them use fiducial marker systems as a main element of algorithms. However, only a few researches are comparing standard marker systems. This paper is dedicated to the comparison of AprilTag and ArUco markers resistance to rotations in the presence of synthetic noise. Experiments were conducted in ROS/Gazebo virtual environment in order to provide a fair comparison of marker detection and recognition algorithms while eliminating external environment conditions that influence the algorithms' performance. The presented virtual environments allow collecting a significant amount of data by experiment process automation. Different levels of additive white Gaussian noise were applied to input sensory data in order to simulate the imperfection of real digital cameras. The main contribution of the paper is the systematic comparison of AprilTag and ArUco markers for rotation resistance in the presence of optical sensor noise. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
experimental |
ru_RU |
| dc.subject |
comparison |
ru_RU |
| dc.subject |
fiducial marker system |
ru_RU |
| dc.subject |
Gazebo |
ru_RU |
| dc.subject |
recognition algorithms |
ru_RU |
| dc.subject |
robotics |
ru_RU |
| dc.subject |
ROS |
ru_RU |
| dc.title |
Virtual Experiments on ArUco and AprilTag Systems Comparison for Fiducial Marker Rotation Resistance under Noisy Sensory Data |
ru_RU |
| dc.type |
Тезисы и материалы конференций в зарубежных журналах и сборниках |
ru_RU |
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