Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Abstract— Particle filters are a frequently used filtering technique in the robotics community. They have been successfully applied to problems such as localization, mapping, o...
Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgar...
: Nowadays, the necessity of safeguarded environments is stronger than ever. The defence of public areas against terroristic threats requires intelligent security assistance system...
This paper presents a sensor-fusion framework for video-based navigation. Video-based navigation offers the advantages over existing approaches. With this type of navigation, road ...
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...