Title :
Indoor localization using laser scanner and vision marker for intelligent robot
Author :
Beomseong Kim ; Baehoon Choi ; Euntai Kim ; Kwangwoong Yang
Abstract :
Indoor localization is essential technology in service robot market. To localize the position of robot, laser scanner is widely used. But it has limit that laser scanner has probability return unexpected data when the space that the robot operate is too crowded. In this dynamic environment, the robot needs another sensor to complement weakness of laser scanner. This paper proposes vision sensor for complement sensor. But previous works that use vision sensor need many computational tasks. So this paper proposes the way to uses vision marker. This method makes the robot executing localization with efficiency. This algorithm applied on the robot platform and experiment show this algorithm is valid in dynamic and static environment.
Keywords :
SLAM (robots); indoor environment; intelligent robots; optical scanners; robot vision; sensor fusion; service robots; stereo image processing; dynamic environment; indoor localization; intelligent robot; laser scanner; robot platform; robot position localization; service robot market; static environment; vision marker; vision sensor; Heuristic algorithms; Laser beams; Lasers; Measurement by laser beam; Robot kinematics; Robot sensing systems; Indoor Localization; Laser Scanner; Vision Marker;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8