The problem of programming a robot t o carry out a systematic exploration of its environment using realistic sensors is considered in this paper. The robot is modelled as a single...
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...
— In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. W...
Abstract--Mapping and localization for indoor robotic navigation is a well-studied field. However, existing work largely relies on long range perceptive sensors in addition to the ...
Ying Zhang, Juan Liu, Gabriel Hoffmann, Mark Quill...