DocumentCode
3713682
Title
Preliminary results on vision-inertial state estimation for SmQT system
Author
Donghun Lee; Hyunsoo Yang;Dongjun Lee
Author_Institution
School of Mechanical & Aerospace Engineering, Seoul National University, 151-744, Korea
fYear
2015
Firstpage
161
Lastpage
162
Abstract
We present some preliminary results on state estimation of SmQT system, which consists of multiple UAVs. By using multiple set of IMU-camera and additional IMU, we estimate whole state of UAVs and tool. The estimator merge vision data and IMU measurements under mechanical constraint of SmQT system to increase tracking accuracy and robustness. Simulation is also performed to illustrate the results.
Keywords
"Cameras","State estimation","Kalman filters","Position measurement","Covariance matrices","Trajectory"
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
Type
conf
DOI
10.1109/URAI.2015.7358854
Filename
7358854
Link To Document