… RGBD SLAM proposed in [12] that takes advantage of a partial knowledge of the scene (partial
3D model … seen as an extension to RGBD SLAM. We call this new approach Constrained …

… RGB-D SLAM; we propose mathematical uncertainty models for point features in RGB-D SLAM,
which are based … The feature uncertainty model based on the concept of propagating the …

… a map of RGBD point features and modeling the spatial uncertainty of these features. We
demonstrate that RGB-D SLAM accuracy can be increased by employing uncertainty models …

… background model-based dense-visual-odometry (BaMVO) algorithm that uses an RGB-D
sensor … estimates the background model represented by the nonparametric model from depth …

… Therefore, both the camera trajectory and the 3D model need to … This allows us to create a
novel approach to SLAM that … In this paper we present an approach to SLAM based on RGB-D…

… This paper proposes a new RGB-D SLAM technique which will selectively choose either
an RGB-D or monocular SLAM based local map building architectures. The key is to obtain …

… The practical applications of 3D model acquisition are manifold. In this paper, we present
our RGB-D SLAM system, ie, an approach to generate colored 3D models of objects and …

… of an RGB-D SLAM. And we introduce each part of the RGB-D SLAM with relevant works …
them and finally know how to design an RGB-D SLAM. The remainder of the paper is organized …

… With this dataset, we provide a complete benchmark that can be used to evaluate visual
SLAM and odometry systems on RGB-D data. To stimulate comparison, we propose two …

… RGBD-SLAM based on a revisited keyframe SLAM. Then, we present an extension of this
RGBD-SLAM that takes advantage of a partial knowledge of the scene (partial 3D model of the …