We show how to recover 2D structure and motion linearly in order to initialize Simultaneous Mapping and Localization (SLAM) for bearings-only measurements and planar motion. The method supplies a good initial estimate of the geometry, even without odometry or in multiple robot scenarios. Hence, it substantially enlarges the scope in which non-linear batch-type SLAM algorithms can be applied. The method is applicable when at least seven landmarks are seen from three different vantage points, whether by one robot that moves over time or by multiple robots that observe a set of common landmarks
A major goal in mobile robotics is to develop autonomous robots that can perform various tasks in un...
Solving the SLAM (simultaneous localization and mapping) prob-lem is one way to enable a robot to ex...
Abstract — Accurate estimation of camera motion is very important for many robotics applications inv...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2004/PS04/A common way of localization in robo...
H.I. Christensen (Ed.): European Robotics Symposium 2006, STAR 22, pp. 143–157, 2006. © Springer-Ve...
Summary. Simultaneous localization and mapping (SLAM) is an important research area in robotics. Lat...
[[abstract]]Purpose FastSLAM is a popular method to solve the problem of simultaneous localization a...
To operate successfully in any environment, mobile robots must be able to localize themselves accura...
Estimating the motion of a mobile robot while simultaneously building a representation of its enviro...
To operate successfully in any environment, mobile robots must be able to localize themselves accura...
For more than two decades, the issue of simultaneous localization and mapping (SLAM) has gained more...
A fundamental competence of any mobile robot system is the ability to remain localized while operati...
A robot was built and programmed to implement a Simultaneous Localization and Mapping (SLAM) Algorit...
The main contribution of this paper is the reformulation of the simultaneous localization and mappin...
A major goal in mobile robotics is to develop autonomous robots that can perform various tasks in un...
Solving the SLAM (simultaneous localization and mapping) prob-lem is one way to enable a robot to ex...
Abstract — Accurate estimation of camera motion is very important for many robotics applications inv...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2004/PS04/A common way of localization in robo...
H.I. Christensen (Ed.): European Robotics Symposium 2006, STAR 22, pp. 143–157, 2006. © Springer-Ve...
Summary. Simultaneous localization and mapping (SLAM) is an important research area in robotics. Lat...
[[abstract]]Purpose FastSLAM is a popular method to solve the problem of simultaneous localization a...
To operate successfully in any environment, mobile robots must be able to localize themselves accura...
Estimating the motion of a mobile robot while simultaneously building a representation of its enviro...
To operate successfully in any environment, mobile robots must be able to localize themselves accura...
For more than two decades, the issue of simultaneous localization and mapping (SLAM) has gained more...
A fundamental competence of any mobile robot system is the ability to remain localized while operati...
A robot was built and programmed to implement a Simultaneous Localization and Mapping (SLAM) Algorit...
The main contribution of this paper is the reformulation of the simultaneous localization and mappin...
A major goal in mobile robotics is to develop autonomous robots that can perform various tasks in un...
Solving the SLAM (simultaneous localization and mapping) prob-lem is one way to enable a robot to ex...
Abstract — Accurate estimation of camera motion is very important for many robotics applications inv...