Title :
Ceiling vision based SLAM approach using sensor fusion of sonar sensor and monocular camera
Author :
Sungjin Jo ; Hyukdoo Choi ; Euntai Kim
Author_Institution :
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
In practice, there could be more than two ceilings of different heights under an indoor environment and a robot under the desk could perceive the desk as a ceiling. In this case, a distance between ceilings and a robot seriously affects a performance of ceiling vision-based simultaneous localization and mapping (cv-SLAM). Therefore, in this paper, we propose the cv-SLAM using sensor fusion of mono-camera and sonar sensor. A sonar sensor can provide more exact distance between ceiling and a robot, and it helps to produce the improved performance of cv-SLAM.
Keywords :
SLAM (robots); cameras; ceilings; mobile robots; robot vision; sensor fusion; sonar imaging; ceiling vision-based simultaneous localization and mapping; cv-SLAM performance improvement; indoor environment; mobile robotics; monocular camera; sensor fusion; sonar sensor; Cameras; Feature extraction; Simultaneous localization and mapping; Sonar measurements; cv-SLAM; monocular camera; sensor fusion; sonar sensor;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Print_ISBN :
978-1-4673-2247-8