The final publication is available at link.springer.comThis chapter explains a precise SLAM technique, PL-SLAM, that allows to simultaneously process points and lines and tackle situations where point-only based methods are prone to fail, like poorly textured scenes or motion blurred images where feature points are vanished out. The method is remarkably robust against image noise, and that it outperforms state-of-the-art methods for point based contour alignment. The method can run in real-time and in a low cost hardware.Peer ReviewedPostprint (author's final draft
The problem of learning a map with a mobile robot has been intensively studied in the past and is us...
This paper demonstrates a visual SLAM system that utilizes point and line cloud for robust camera lo...
Simultaneous Localization and Mapping (SLAM) is the problem of localizing a sensor in a map that is ...
The final publication is available at link.springer.comThis chapter explains a precise SLAM techniqu...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Traditional approaches to stereo visual simultaneous localization and mapping (SLAM) rely on point f...
In this paper, we consider the problems in the practical application of visual simultaneous localiza...
With the realization of many state-of-the-art computing processors, the field of robotics is experie...
Trabajo presentado a la IEEE International Conference on Robotics and Automation (ICRA), celebrada e...
Traditional visual simultaneous localization and mapping (SLAM) systems rely on point features to es...
SLAM algorithms solve concurrently two interrelated problems: what is my current location (localizat...
This thesis focuses on operation of Micro Aerial Vehicles (MAVs), in previously unexplored, GPS-deni...
Estimating the motion of a mobile robot while simultaneously building a representation of its enviro...
The final publication is available at link.springer.comThis chapter is devoted to explaining a metho...
The problem of learning a map with a mobile robot has been intensively studied in the past and is us...
The problem of learning a map with a mobile robot has been intensively studied in the past and is us...
This paper demonstrates a visual SLAM system that utilizes point and line cloud for robust camera lo...
Simultaneous Localization and Mapping (SLAM) is the problem of localizing a sensor in a map that is ...
The final publication is available at link.springer.comThis chapter explains a precise SLAM techniqu...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Traditional approaches to stereo visual simultaneous localization and mapping (SLAM) rely on point f...
In this paper, we consider the problems in the practical application of visual simultaneous localiza...
With the realization of many state-of-the-art computing processors, the field of robotics is experie...
Trabajo presentado a la IEEE International Conference on Robotics and Automation (ICRA), celebrada e...
Traditional visual simultaneous localization and mapping (SLAM) systems rely on point features to es...
SLAM algorithms solve concurrently two interrelated problems: what is my current location (localizat...
This thesis focuses on operation of Micro Aerial Vehicles (MAVs), in previously unexplored, GPS-deni...
Estimating the motion of a mobile robot while simultaneously building a representation of its enviro...
The final publication is available at link.springer.comThis chapter is devoted to explaining a metho...
The problem of learning a map with a mobile robot has been intensively studied in the past and is us...
The problem of learning a map with a mobile robot has been intensively studied in the past and is us...
This paper demonstrates a visual SLAM system that utilizes point and line cloud for robust camera lo...
Simultaneous Localization and Mapping (SLAM) is the problem of localizing a sensor in a map that is ...