| Форма представления | Тезисы и материалы конференций в зарубежных журналах и сборниках |
| Год публикации | 2022 |
| Язык | английский |
|
Лавренов Роман Олегович, автор
Магид Евгений Аркадьевич, автор
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|
Бай Янг , автор
Свинин Михаил , автор
|
|
Килин Михаил Владимирович, автор
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| Библиографическое описание на языке оригинала |
Kilin M., Lavrenov R., Bai Y., Svinin M., Magid E. Testing Procedures Architecture for Establishing a Fiducial Marker Recognition Quality in UAV-based Visual Marker Tracking Task in Gazebo Simulator // International Conference on Artificial Life and Robotics (ICAROB 2022) (online) - p. 691-694. |
| Аннотация |
International Conference on Artificial Life and Robotics (ICAROB 2022) |
| Ключевые слова |
UAV, ROS, Gazebo, PX4, Fiducial Markers, ArUco |
| Название журнала |
International Conference on Artificial Life and Robotics (ICAROB 2022)
|
| URL |
https://icarob.org/custom4.html |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=263901 |
| Файлы ресурса | |
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Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Лавренов Роман Олегович |
ru_RU |
| dc.contributor.author |
Магид Евгений Аркадьевич |
ru_RU |
| dc.contributor.author |
Бай Янг |
ru_RU |
| dc.contributor.author |
Свинин Михаил |
ru_RU |
| dc.contributor.author |
Килин Михаил Владимирович |
ru_RU |
| dc.date.accessioned |
2022-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2022-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2022 |
ru_RU |
| dc.identifier.citation |
Kilin M., Lavrenov R., Bai Y., Svinin M., Magid E. Testing Procedures Architecture for Establishing a Fiducial Marker Recognition Quality in UAV-based Visual Marker Tracking Task in Gazebo Simulator // International Conference on Artificial Life and Robotics (ICAROB 2022) (online) - p. 691-694. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=263901 |
ru_RU |
| dc.description.abstract |
International Conference on Artificial Life and Robotics (ICAROB 2022) |
ru_RU |
| dc.description.abstract |
Fiducial markers could be used in different tasks, including UAV and UGV marker-based localization. In most cases developers do not consider features of fiducial markers' systems (FMS) while selecting a particular FMS for a project. However, this selection might significantly influence results of experiments and thus the quality of a resulting product, an algorithm or a software. In this work, we define an architecture of experimental framework that allows finding an optimal marker for a UAV in a mobile ground object following task. The proposed framework estimates an average deviation of a detected Aruco marker position and an accuracy of the UAV landing on the marker. The framework uses Robot Operating System and employs UAV PX4 LIRS model in the Gazebo simulator. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
UAV |
ru_RU |
| dc.subject |
ROS |
ru_RU |
| dc.subject |
Gazebo |
ru_RU |
| dc.subject |
PX4 |
ru_RU |
| dc.subject |
Fiducial Markers |
ru_RU |
| dc.subject |
ArUco |
ru_RU |
| dc.title |
Testing Procedures Architecture for Establishing a Fiducial Marker Recognition Quality in UAV-based Visual Marker Tracking Task in Gazebo Simulator |
ru_RU |
| dc.type |
Тезисы и материалы конференций в зарубежных журналах и сборниках |
ru_RU |
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