This paper presents a spatial-semantic modeling system featuring automated learning of
object-place relations from an online annotated database, and the application of these …

Loop closing in vision based SLAM applications is a difficult task. Comparing new image
data with all previously acquired image data is practically impossible because of the high …

Places in an environment are locations where activities occur, and can be described by the
objects they contain. This paper discusses the completely automated integration of object …

Local feature matching has become a commonly used method to compare images. For
mobile robots, a reliable method for comparing images can constitute a key component for …

Places in an environment can be described by the objects they contain. This paper
discusses the completely automated integration of object detection and place classification …

We present a mostly vision-based controller for mapping and completely covering a
rectangular area by meandering cleaning lanes. The robot is guided along a parallel course …

We describe a system allowing a mobile robot equipped with a 3D laser range finder to
navigate in the indoor and outdoor environment. A global map of the environment is …

The localization of mobile systems with video data is a challenging field in robotic vision
research. Apart from support technologies like a GPS, a self-sufficient visual system is …

Loop closing in vision based SLAM applications is a difficult task. Comparing new image
data with all previous image data acquired for the map is practically impossible because of …

We present an approach for semantic navigation of a mobile robot in a human-made
environment. Our system consists of following parts: map building, localization, path …