Paper Info
Title
Doorplate adaptive detection and recognition for indoor mobile robot self-localization
Abstract
Self-localization is key to mobile robot navigation. Among many techniques for self-localization, landmark-based approaches can avoid complex and often memory demanding descriptions of robot surroundings. In this paper, doorplate is selected as visual landmark. For color images captured by robot, adaptive thresholding segmentation based on component color histograms and rival penalized competitive learning (RPCL) are employed to locate doorplate position in these images. Figures within doorplate are detected by edge detection operator and recognized with their geometric features extracted from results by Hilditich thinning algorithm. Experiments on mobile robot CASIA-1 show that this method is effective for indoor mobile robot self-localization
Year
DOI
Venue
2004
10.1109/ROBIO.2004.1521801
ROBIO
Keywords
Field
DocType
image thinning,doorplate adaptive recognition,mobile robot navigation,image segmentation,mobile robots,color image,casia-1,visual landmark,doorplate adaptive detection,adaptive thresholding segmentation,feature extraction,edge detection,path planning,navigation,rival penalized competitive learning,mobile robot,hilditich thinning,indoor mobile robot,color histogram,adaptive segmentation,robot vision,image colour analysis,self-localization,adaptive thresholding
Motion planning,Computer vision,Pattern recognition,Color histogram,Image segmentation,Artificial intelligence,Engineering,Mobile robot navigation,Thresholding,Landmark,Robot,Mobile robot
Conference
Volume
Issue
ISBN
null
null
0-7803-8614-8
Citations 
PageRank 
References 
2
0.41
12
Authors
4
Name
Order
Citations
PageRank
Chengwan An150.85
Guizhi Li272.30
Yongqian Zhang394.24
Min Tan42342201.12