The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground usin...
Bastian Steder, Giorgio Grisetti, Cyrill Stachniss...
We propose a fast and robust CV-SLAM (Ceiling Vision –based Simultaneous Localization and Mapping) technique using a single ceiling vision sensor. The proposed algorithm is suita...
Woo Yeon Jeong (Seoul National University), Kyoung...
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...
— In this paper, we present an Extended Kalman Filter (EKF)-based estimator for simultaneous localization and mapping (SLAM) with processing requirements that are linear in the n...
— In this paper we describe an approach to feature representation for simultaneous localization and mapping, SLAM. It is a general representation for features that addresses symm...
John Folkesson, Patric Jensfelt, Henrik I. Christe...