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Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo
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| dc.contributor | Казанский федеральный университет | |
| dc.contributor.author | Mustafin Maxim Andreevich | |
| dc.contributor.author | Tsoy Tatyana Grigorevna | |
| dc.contributor.author | Martinez-Garsia Edgar A. | |
| dc.contributor.author | Meshheryakov Roman Valerevich | |
| dc.contributor.author | Magid Evgeni Arkadevich | |
| dc.date.accessioned | 2023-09-21T08:38:57Z | |
| dc.date.available | 2023-09-21T08:38:57Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo / M. Mustafin, T. Tsoy, E.A. Martınez-Garcıa [et al.] // 2022 Moscow Workshop on Electronic and Networking Technologies (MWENT). Moscow, 2022. - P. 1-6. | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/176906 | |
| 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 | |
| dc.language.iso | en | |
| dc.relation.ispartofseries | Moscow Workshop on Electronic and Networking Technologies (MWENT-2022) | |
| dc.rights | открытый доступ | |
| dc.subject | Computer vision | |
| dc.subject | Object recognition | |
| dc.subject | ROS | |
| dc.subject | Gazebo | |
| dc.subject | Mobile crawler robot | |
| dc.title | Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo | |
| dc.type | Article | |
| dc.contributor.org | Институт информационных технологий и интеллектуальных систем | |
| dc.description.pages | 1-6 | |
| dc.pub-id | 268021 | |
| dc.identifier.doi | 10.1109/MWENT55238.2022.9802368 |
