KFU. Card publication. Testing Procedures Architecture for Establishing a Fiducial Marker Recognition Quality in UAV-based Visual Marker Tracking Task in Gazebo Simulator

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TESTING PROCEDURES ARCHITECTURE FOR ESTABLISHING A FIDUCIAL MARKER RECOGNITION QUALITY IN UAV-BASED VISUAL MARKER TRACKING TASK IN GAZEBO SIMULATOR

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2022

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Authors, employees of KFU

Lavrenov Roman Olegovich, author

Magid Evgeniy Arkadevich, author

Other authors

Bay Yang , author

Svinin Mikhail , author

Authors, students KFU

Kilin Mikhail Vladimirovich, author

Bibliographic description in the original language

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.

Annotation

International Conference on Artificial Life and Robotics (ICAROB 2022)

Keywords

UAV, ROS, Gazebo, PX4, Fiducial Markers, ArUco

The name of the journal

International Conference on Artificial Life and Robotics (ICAROB 2022)

URL

https://icarob.org/custom4.html

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=263901&p_lang=2

Resource files

File name	Size (MB)	Format
F_2022_Testing_Procedures_Architecture_for_Establishing_a_Fiducial_Marker_Recognition.pdf	0,27	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Lavrenov Roman Olegovich	ru_RU
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Bay Yang	ru_RU
dc.contributor.author	Svinin Mikhail	ru_RU
dc.contributor.author	Kilin Mikhail Vladimirovich	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/eng/?p_id=263901&p_lang=2	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	Conference proceedings in international journals and collections	ru_RU