Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2021 |
Язык | английский |
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Гаврилова Лилия Радиковна, автор
Цой Татьяна Григорьевна, автор
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Кононов Кирилл Георгиевич, автор
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Библиографическое описание на языке оригинала |
Kononov K. External RGB-D camera based mobile robot localization in Gazebo environment with real-time filtering and smoothing techniques / Lavrenov R., Gavrilova L., Tsoy T. // Smart Innovation, Systems and Technologies. - Vol. 232. - p. 223-234. |
Аннотация |
16th International Conference on Electromechanics and Robotics «Zavalishin's Readings« (ER(ZR)-2021) |
Ключевые слова |
Mobile robot localization, Filtering and smoothing, Computer vision, Gazebo, ROS |
Название журнала |
16th International Conference on Electromechanics and Robotics «Zavalishin's Readings« (ER(ZR)-2021)
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URL |
https://link.springer.com/chapter/10.1007/978-981-16-2814-6_20 |
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=256818 |
Файлы ресурса | |
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Поле DC |
Значение |
Язык |
dc.contributor.author |
Гаврилова Лилия Радиковна |
ru_RU |
dc.contributor.author |
Цой Татьяна Григорьевна |
ru_RU |
dc.contributor.author |
Кононов Кирилл Георгиевич |
ru_RU |
dc.date.accessioned |
2021-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2021-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2021 |
ru_RU |
dc.identifier.citation |
Kononov K. External RGB-D camera based mobile robot localization in Gazebo environment with real-time filtering and smoothing techniques / Lavrenov R., Gavrilova L., Tsoy T. // Smart Innovation, Systems and Technologies. - Vol. 232. - p. 223-234. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/?p_id=256818 |
ru_RU |
dc.description.abstract |
16th International Conference on Electromechanics and Robotics «Zavalishin's Readings« (ER(ZR)-2021) |
ru_RU |
dc.description.abstract |
In previous work, we successfully studied the possibility of a mobile robot localization using an external RGB-D camera. We conducted virtual experiments in a Gazebo simulator using ROS with a Turtlebot3 Waffle Pi as a mobile robot. find_object_2d package was used to localize the Turtlebot3 and send its computed position to ROS. Thus, we extended our research and ratchet that result up by implementing the algorithm for filtering and smoothing the computed mobile robot position. Our task was to develop a thin library that is a wrapper over the find_object_2d package. The filtering algorithm and smoothing can compute the supposed robot position or predict it in cases when the robot disappears from the camera's field of view. We conducted virtual experiments over again and draw a comparison between previous results (without filtering and smoothing algorithm) and current results (using filtering and smoothing algorithm with slight improvements). |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Mobile robot localization |
ru_RU |
dc.subject |
Filtering and smoothing |
ru_RU |
dc.subject |
Computer vision |
ru_RU |
dc.subject |
Gazebo |
ru_RU |
dc.subject |
ROS |
ru_RU |
dc.title |
External RGB-D camera based mobile robot localization in Gazebo environment with real-time filtering and smoothing techniques |
ru_RU |
dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
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