KFU. Card publication. Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

MODELLING MOBILE ROBOT NAVIGATION IN 3D ENVIRONMENTS: CAMERA-BASED STAIRS RECOGNITION IN GAZEBO

Form of presentation

Articles in Russian journals and collections

Year of publication

2022

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Authors, employees of KFU

Magid Evgeniy Arkadevich, author

Mustafin Maksim Andreevich, author

Coy Tatyana Grigorevna, author

Other authors

Martinez-Garsia Edgar A. , author

Meshheryakov Roman Valerevich, author

Bibliographic description in the original language

Mustafin M., Tsoy T., Martınez-Garcıa E.A., Meshcheryakov R., Magid E. Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo //2022 Moscow Workshop on Electronic and Networking Technologies (MWENT). – IEEE, 2022. – p. 1-6.

Annotation

The task of sensory-based autonomous navigation of mobile robots requires data fusion from multiple sources in order to properly detect and recognize environmental obstacles. One of important issues mobile robots deal in a typical multilevel indoor environment is a stair well detection and negotiation. This paper presents ROS-based stairs detection implementation using onboard cameras of the Russian mobile crawler robot Servosila Engineer. Virtual experiments were performed in Gazebo environment with a single camera and a stereo camera

Keywords

Computer vision, Object recognition, ROS, Gazebo, Mobile crawler robot

The name of the journal

Moscow Workshop on Electronic and Networking Technologies (MWENT-2022)

On-line resource for training course

http://dspace.kpfu.ru/xmlui/bitstream/handle/net/176906/F_2022_Modelling_mobile_robot_navigation_in_3D_environments_camera.pdf?sequence=1&isAllowed=y

URL

https://ieeexplore.ieee.org/document/9802368

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

https://repository.kpfu.ru/eng/?p_id=268021&p_lang=2

Resource files

File name	Size (MB)	Format
F_2022_Modelling_mobile_robot_navigation_in_3D_environments_camera.pdf	3,95	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Mustafin Maksim Andreevich	ru_RU
dc.contributor.author	Coy Tatyana Grigorevna	ru_RU
dc.contributor.author	Martinez-Garsia Edgar A.	ru_RU
dc.contributor.author	Meshheryakov Roman Valerevich	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	Mustafin M., Tsoy T., Martınez-Garcıa E.A., Meshcheryakov R., Magid E. Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo //2022 Moscow Workshop on Electronic and Networking Technologies (MWENT). – IEEE, 2022. – p. 1-6.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=268021&p_lang=2	ru_RU
dc.description.abstract	Moscow Workshop on Electronic and Networking Technologies (MWENT-2022)	ru_RU
dc.description.abstract	The task of sensory-based autonomous navigation of mobile robots requires data fusion from multiple sources in order to properly detect and recognize environmental obstacles. One of important issues mobile robots deal in a typical multilevel indoor environment is a stair well detection and negotiation. This paper presents ROS-based stairs detection implementation using onboard cameras of the Russian mobile crawler robot Servosila Engineer. Virtual experiments were performed in Gazebo environment with a single camera and a stereo camera	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Computer vision	ru_RU
dc.subject	Object recognition	ru_RU
dc.subject	ROS	ru_RU
dc.subject	Gazebo	ru_RU
dc.subject	Mobile crawler robot	ru_RU
dc.title	Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU