In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Localization is the process of determining the robot's location within its environment. More precisely, it is a procedure which takes as input a geometric map, a current estim...
Visual attention regions are useful for many applications in the field of computer vision and robotics. Here, we introduce an application to simultaneous robot localization and ma...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
Abstract— We propose a new vision-based SLAM (Simultaneous Localization and Mapping) technique using both line and corner features as landmarks in the scene. The proposed SLAM al...