Title :
A Hough-based method for concurrent mapping and localization in indoor environments
Author :
Lorenzo, J. M Perez ; Vazquez-Martin, R. ; Nunez, P. ; Pérez, E.J. ; Sandoval, F.
Author_Institution :
Departamento de Tecnologia Electronica, Malaga Univ., Spain
Abstract :
This paper proposes a method to solve the simultaneous localization and map building problem based on segments extracted from local sonar based occupation maps. These segments are categorized as new obstacle boundaries of a simultaneously built global segment-based map or as prolongations of previously extracted boundaries. The method is adequate for indoor office-like environments, specially for those environments that can be suitable modelled by a set of segments. The method has been proved in several experiments in the same indoor environment with successful results.
Keywords :
Hough transforms; feature extraction; image segmentation; mobile robots; path planning; Hough-based method; autonomous mobile robotic navigation; concurrent mapping and localization; global segment-based map; indoor office-like environments; local sonar based occupation maps; obstacle boundaries; simultaneous localization and map building problem; Clustering algorithms; Indoor environments; Mobile robots; Navigation; Path planning; Probability density function; Robot sensing systems; Simultaneous localization and mapping; Sonar measurements; Telecommunications;
Conference_Titel :
Robotics, Automation and Mechatronics, 2004 IEEE Conference on
Print_ISBN :
0-7803-8645-0
DOI :
10.1109/RAMECH.2004.1438027