Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Intelligent and Robotic Systems
Exploring artificial intelligence in the new millennium
Towards a general theory of topological maps
Artificial Intelligence
Topological modeling and classification in home environment using sonar gridmap
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Topological localization with kidnap recovery using sonar grid map matching in a home environment
Robotics and Computer-Integrated Manufacturing
Hi-index | 0.02 |
This paper presents a method of topological modeling in home environments using only low-cost sonar sensors. The proposed method constructs a topological model using sonar gridmap by extracting subregions incrementally. A confidence for each occupied grid is evaluated to obtain reliable regions in a local gridmap, and a convexity measure is used to extract subregions automatically. Through these processes, the topological model is constructed without predefining the number of subregions in advance and the extracted subregions are guaranteed the convexity. Experimental results verify the performance of proposed method in real home environment.