Title :
An Improvement of Hough Transform for Building Feature map
Author :
Liu, Limei ; Cai, Zixing
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
Map building is very important to accomplish autonomous navigation and other complex intelligent tasks. A novel method of feature map building was proposed to process the uncertainty data and noise data of sonar. This method has introduced sonar arc to describe detectable region for sonar, and extracted line by a novel Hough transform based on randomized Hough transform and multi-resolution Hough transform to accomplish autonomous map building of mobile robot. So uncertainty in sonar sensor responses can be successfully reduced. The experiment results indicate that the method is more effective and better real-time performance.
Keywords :
Hough transforms; cartography; feature extraction; mobile robots; navigation; sonar imaging; autonomous map building; autonomous navigation; feature map building; mobile robot; multiresolution Hough transform; randomized Hough transform; sonar arc; sonar noise data; sonar uncertainty data; Business; Competitive intelligence; Data mining; Feature extraction; Information science; Intelligent structures; Mobile robots; Sonar detection; Sonar navigation; Uncertainty;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364296