Title :
An approach to the robust classification of pathway images for autonomous mobile robots
Author :
Liu, Feiyu ; Wershofen, Klaus Peter
Author_Institution :
Inst. fur Messtechnik, Univ. der Bundeswehr Munchen, Neubiberg, Germany
Abstract :
An approach to the robust classification of pathway images for autonomous mobile robots is described. The proposed algorithm consists of different steps: first, a texture-based segmentation is used to divide the image coarsely into pathway and nonpathway regions; then an edge-based method is applied in order to localize the pathway boundaries. Finally their location is combined with the result of the segmentation to search object candidates on the pathway and junction candidates besides the pathway
Keywords :
computer vision; image segmentation; mobile robots; autonomous mobile robots; edge-based method; pathway images classification; texture-based segmentation; Image processing; Image recognition; Image segmentation; Layout; Mobile robots; Navigation; Real time systems; Roads; Robot vision systems; Robustness;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279546