Title :
Ceiling vision-based topological mapping and exploration in wide-open area
Author :
Su-Yong An ; Lae-Kyoung Lee ; Se-Young Oh
Author_Institution :
Inst. of Ind. Technol., Samsung Heavy Ind., Daejeon, South Korea
Abstract :
In this paper, we propose a new ceiling vision-based active mapping and exploration framework for wide-open structural environments such as museum, exhibition center. We adopt the ceiling vision based approach with model-free landmark definition and visual servoing based data association. Additionally, by using a recursive explore and exploit strategy in topological map-building and navigation, we could gradually spread out the mapped region in unknown, wide-open environments without degrading map accuracy. Simulations and real experiment demonstrated that our mapping and exploration algorithm could work well in real environment.
Keywords :
SLAM (robots); mobile robots; path planning; robot vision; service robots; topology; visual servoing; ceiling vision-based active exploration framework; ceiling vision-based active mapping framework; exhibition center; model-free landmark definition; museum; navigation; recursive explore-and-exploit strategy; topological map-building; unknown wide-open structural environments; visual servoing-based data association; Image edge detection; Simultaneous localization and mapping; Visual servoing; Visualization;
Conference_Titel :
RO-MAN, 2013 IEEE
Conference_Location :
Gyeongju
DOI :
10.1109/ROMAN.2013.6628522