International audienceThis paper presents a hybrid structure/trajectory constraint, that uses output camera poses of a model-based tracker, for object localization with SLAM algorithm. This constraint takes into account the structure information given by a CAD model while relying on the formalism of trajectory constraints. It has the advantages to be compact in memory and to accelerate the SLAM optimization process. The accuracy and robustness of the resulting localization as well as the memory and time gains are evaluated on synthetic and real data. Videos are available as supplementary material
International audienceThis paper addresses the challenging issue of marker less tracking for Augment...
We present the major advantages of a new ‘object ori-ented ’ 3D SLAM paradigm, which takes full adva...
Simultaneous localization and mapping (SLAM) is a fundamental problem for indoor mobile robots opera...
International audienceThis paper presents a hybrid structure/trajectory constraint, that uses output...
International audienceClassical visual simultaneous localization and mapping (SLAM) algorithms usual...
SLAMstands for Simultaneous Localization AndMapping. It is a fundamental topic in Autonomous Systems...
Traditional visual simultaneous localization and mapping (SLAM) systems rely on point features to es...
Simultaneous Localization and Mapping (SLAM) is the problem of localizing a sensor in a map that is ...
The goal of SLAM (Simultaneous Localization and Mapping) is to estimate the trajectory of a moving c...
A visual localization approach for dynamic objects based on hybrid semantic-geometry information is ...
In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization and Mappin...
In this paper, we present a practical vision based Simultane-ous Localization and Mapping (SLAM) sys...
International audienceSimultaneous localization and mapping (SLAM) techniques are widely researched,...
The present thesis is focuses on the problem of Simultaneous Localisation and Mapping (SLAM) using ...
Simultaneous Localization & Mapping (SLAM) is considered as the process of building a mutual relatio...
International audienceThis paper addresses the challenging issue of marker less tracking for Augment...
We present the major advantages of a new ‘object ori-ented ’ 3D SLAM paradigm, which takes full adva...
Simultaneous localization and mapping (SLAM) is a fundamental problem for indoor mobile robots opera...
International audienceThis paper presents a hybrid structure/trajectory constraint, that uses output...
International audienceClassical visual simultaneous localization and mapping (SLAM) algorithms usual...
SLAMstands for Simultaneous Localization AndMapping. It is a fundamental topic in Autonomous Systems...
Traditional visual simultaneous localization and mapping (SLAM) systems rely on point features to es...
Simultaneous Localization and Mapping (SLAM) is the problem of localizing a sensor in a map that is ...
The goal of SLAM (Simultaneous Localization and Mapping) is to estimate the trajectory of a moving c...
A visual localization approach for dynamic objects based on hybrid semantic-geometry information is ...
In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization and Mappin...
In this paper, we present a practical vision based Simultane-ous Localization and Mapping (SLAM) sys...
International audienceSimultaneous localization and mapping (SLAM) techniques are widely researched,...
The present thesis is focuses on the problem of Simultaneous Localisation and Mapping (SLAM) using ...
Simultaneous Localization & Mapping (SLAM) is considered as the process of building a mutual relatio...
International audienceThis paper addresses the challenging issue of marker less tracking for Augment...
We present the major advantages of a new ‘object ori-ented ’ 3D SLAM paradigm, which takes full adva...
Simultaneous localization and mapping (SLAM) is a fundamental problem for indoor mobile robots opera...