Name
Title | ||
|---|---|---|
Euclidean position estimation of features on a moving object using a single camera: a Lyapunov-based approach |
Abstract | ||
|---|---|---|
In this paper, an adaptive nonlinear estimator is developed to identify the Euclidean coordinates of feature points on a moving object using a single fixed camera. No explicit model is used to describe the movement of the object. Homography-based techniques are used in the development of the object kinematics, while Lyapunov design methods are utilized in the synthesis of the adaptive estimator. Simulation results are included to demonstrate the performance of the estimator. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ACC.2005.1470721 | american control conference |
Keywords | DocType | ISSN |
lyapunov methods,adaptive estimation,cameras,feature extraction,image sequences,kinematics,motion estimation,nonlinear estimation,euclidean position estimation,lyapunov design,lyapunov-based approach,adaptive estimator synthesis,adaptive nonlinear estimator,feature points,homography,object kinematics,object movement,robot kinematics,simultaneous localization and mapping,mathematical models,design method,navigation,aerospace engineering,computer vision,object recognition,velocity,lyapunov functions | Conference | 0743-1619 E-ISBN : 0-7803-9099-7 |
ISBN | Citations | PageRank |
0-7803-9099-7 | 6 | 0.58 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chitrakaran, V.K. | 1 | 6 | 0.58 |
| Dawson, D.M. | 2 | 8 | 1.07 |
| Chen, J. | 3 | 32 | 4.37 |
| Dixon, W.E. | 4 | 44 | 2.87 |