— This paper presents the Visual Simultaneous Localization and Mapping (vSLAMTM ) algorithm, a novel algorithm for simultaneous localization and mapping (SLAM). The algorithm is ...
Niklas Karlsson, Enrico Di Bernardo, James P. Ostr...
— This paper presents a fast approach for vision-based self-localization in RoboCup. The vision system extracts the features required for localization without processing the whol...
Vision systems for service robotics applications have to cope with varying environmental conditions, partial occlusions, complex backgrounds and a large number of distractors (clut...
The CS Freiburg team has become F2000 champion the third time in the history of RoboCup. The success of our team can probably be attributed to its robust sensor interpretation and ...
Thilo Weigel, Alexander Kleiner, Florian Diesch, M...
This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is...