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- W2241883232 abstract "In image-based visual servoing (IBVS), the control law is based on the error between the current and desired features on the image plane. The visual servoing system is working well only when all the designed features are correctly extracted. To monitor the quality of feature extraction, in this paper, a condition monitoring scheme is developed. First, the failure scenarios of the visual servoing system caused by incorrect feature extraction are reviewed. Second, we propose a residual generator, which can be used to detect if a failure occurs, based on the Kalman filter. Finally, simulation results are given to verify the effectiveness of the proposed method." @default.
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- W2241883232 date "2015-01-01" @default.
- W2241883232 modified "2023-09-22" @default.
- W2241883232 title "Condition Monitoring for Image-Based Visual Servoing Using Kalman Filter" @default.
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- W2241883232 doi "https://doi.org/10.1007/978-3-319-27863-6_79" @default.
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