KFU. Card publication. Exhaustive simulation approach for a virtual camera calibration evaluation in Gazebo

KAZAN
FEDERAL UNIVERSITY

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EXHAUSTIVE SIMULATION APPROACH FOR A VIRTUAL CAMERA CALIBRATION EVALUATION IN GAZEBO

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2022

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Authors, employees of KFU

Magid Evgeniy Arkadevich, author

Safin Ramil Nabiullovich, author

Coy Tatyana Grigorevna, author

Other authors

Martinez-Garsia Edgar A. , author

Roy Sumantra D. , author

Sakha Subir K. , author

Bibliographic description in the original language

Tsoy, T., Safin, R., Martinez-Garcia, E.A., Roy, S.D., Saha, S.K., Magid, E. (2022). Exhaustive simulation approach for a virtual camera calibration evaluation in Gazebo. IEEE 8th International Conference on Automation, Robotics and Applications (ICARA 2022), p. 233-238.

Annotation

IEEE 8th International Conference on Automation, Robotics and Applications (ICARA 2022)

Keywords

camera calibration, photogrammetry, computer vision, automation, simulation, ROS Framework, Gazebo

The name of the journal

IEEE 8th International Conference on Automation, Robotics and Applications (ICARA 2022)

URL

https://ieeexplore.ieee.org/document/9738581

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

https://repository.kpfu.ru/eng/?p_id=267488&p_lang=2

Resource files

File name	Size (MB)	Format
2022_Exhaustive_Simulation_Approach_for_a_Virtual_Camera_Calibration_Evaluation_in_Gazebo.pdf	5,02	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Safin Ramil Nabiullovich	ru_RU
dc.contributor.author	Coy Tatyana Grigorevna	ru_RU
dc.contributor.author	Martinez-Garsia Edgar A.	ru_RU
dc.contributor.author	Roy Sumantra D.	ru_RU
dc.contributor.author	Sakha Subir K.	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	Tsoy, T., Safin, R., Martinez-Garcia, E.A., Roy, S.D., Saha, S.K., Magid, E. (2022). Exhaustive simulation approach for a virtual camera calibration evaluation in Gazebo. IEEE 8th International Conference on Automation, Robotics and Applications (ICARA 2022), p. 233-238.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=267488&p_lang=2	ru_RU
dc.description.abstract	IEEE 8th International Conference on Automation, Robotics and Applications (ICARA 2022)	ru_RU
dc.description.abstract	Camera calibration is an essential research field with a high potential for emerging algorithms and calibration targets. In this work, we present a virtual experiments approach in Gazebo simulator for exhaustive camera calibration methods and calibration targets evaluation. Key steps of the camera calibration workflow were adapted to the Gazebo simulation approach. We proposed a virtual camera calibration evaluation pipeline that includes camera modeling and calibration target's pose generation in a viewing frustum. Experiments in the Gazebo demonstrated virtual environment feasibility for camera calibration evaluation while comparing checkerboard and circle grid targets, and allowed to achieve an acceleration of more than 30 times compared to the real-time. Experimental results exhibited a need for additional calibration steps incorporation, such as outliers rejection and optimal calibration target poses generation.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	camera calibration	ru_RU
dc.subject	photogrammetry	ru_RU
dc.subject	computer vision	ru_RU
dc.subject	automation	ru_RU
dc.subject	simulation	ru_RU
dc.subject	ROS Framework	ru_RU
dc.subject	Gazebo	ru_RU
dc.title	Exhaustive simulation approach for a virtual camera calibration evaluation in Gazebo	ru_RU
dc.type	Conference proceedings in international journals and collections	ru_RU