Form of presentation | Articles in international journals and collections |
Year of publication | 2015 |
Язык | английский |
|
Magid Evgeniy Arkadevich, author
|
Bibliographic description in the original language |
Afanasyev I. ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment / Sagitov A., Magid E. // Lecture Notes in Computer Science (incl. subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2015. - №9386. - p. 273-283. |
Annotation |
At present, robot simulators have robust physics engine,
high-quality graphics, convenient customer and graphical interfaces, that
gives rich opportunities to substitute the real robot by its simulation
model, providing the calculation of a robot locomotion by odometry
and sensor data. This paper aims at describing a Gazebo simulation
approach of simultaneous localization and mapping (SLAM) based on
the Robotic operating system (ROS) for a simulated mobile robot with
a system of two scanning lasers, which moves in a 3D model of realistic
indoor environment. The image-based 3D model of a real room
with obstacles was obtained by camera shots and reconstructed by Autodesk
123D Catch software with meshing in MeshLab software. We use
the existing Gazebo simulation of the Willow Garage Personal Robot 2
(PR2) with its sensor system, which facilitates the simulation of robot
locomotion and sensor measurements for SLAM and navigation tasks. |
Keywords |
SLAM, ROS, Gazebo, Navigation, localization and mapping, Image-based 3D model, Laser rangefinder, Robot simulators. |
The name of the journal |
Lecture Notes in Computer Science
|
URL |
https://link.springer.com/chapter/10.1007/978-3-319-25903-1_24 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=149752&p_lang=2 |
Resource files | |
|
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Magid Evgeniy Arkadevich |
ru_RU |
dc.date.accessioned |
2015-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2015-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2015 |
ru_RU |
dc.identifier.citation |
Afanasyev I. ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment / Sagitov A., Magid E. // Lecture Notes in Computer Science (incl. subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2015. - №9386. - p. 273-283. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=149752&p_lang=2 |
ru_RU |
dc.description.abstract |
Lecture Notes in Computer Science |
ru_RU |
dc.description.abstract |
At present, robot simulators have robust physics engine,
high-quality graphics, convenient customer and graphical interfaces, that
gives rich opportunities to substitute the real robot by its simulation
model, providing the calculation of a robot locomotion by odometry
and sensor data. This paper aims at describing a Gazebo simulation
approach of simultaneous localization and mapping (SLAM) based on
the Robotic operating system (ROS) for a simulated mobile robot with
a system of two scanning lasers, which moves in a 3D model of realistic
indoor environment. The image-based 3D model of a real room
with obstacles was obtained by camera shots and reconstructed by Autodesk
123D Catch software with meshing in MeshLab software. We use
the existing Gazebo simulation of the Willow Garage Personal Robot 2
(PR2) with its sensor system, which facilitates the simulation of robot
locomotion and sensor measurements for SLAM and navigation tasks. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
SLAM |
ru_RU |
dc.subject |
ROS |
ru_RU |
dc.subject |
Gazebo |
ru_RU |
dc.subject |
Navigation |
ru_RU |
dc.subject |
localization and mapping |
ru_RU |
dc.subject |
Image-based 3D model |
ru_RU |
dc.subject |
Laser rangefinder |
ru_RU |
dc.subject |
Robot simulators. |
ru_RU |
dc.title |
ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|