Title :
Pose Estimation from Landmark-based vision and inertial sensors
Author :
Young Min Choi ; Young Soo Suh ; Sang Kyeong
Author_Institution :
Dept. of Electr. Eng., Ulsan Univ.
Abstract :
Pose estimation combining vision and inertial sensors (3 gyroscopes) are proposed. The pose is estimated by integrating the gyroscope outputs and pose estimation error is corrected using four points landmark. The indirect Kalman filter is used for the estimation. The proposed estimation method is verified through experiments
Keywords :
Kalman filters; computer vision; gyroscopes; pose estimation; sensors; gyroscopes; indirect Kalman filter; inertial sensors; landmark-based vision; pose estimation error; Cameras; Electronic mail; Estimation error; Frequency estimation; Gyroscopes; Image sampling; Magnetic sensors; Mechanical sensors; Sampling methods; Sensor phenomena and characterization; Kalman filter; inertial sensors; pose estimation; vision;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315589
