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This paper introduces the problem of iterative learning control (ILC) for perspective dynamic systems (PDS), referred to as ILC-PDS, where the task is to track a 3D desired trajectory from information observed on the image plane of an imaging system, such as a camera. Unlike many ILC implementations in motion control applications, which use feedback from encoders, we assume measurements from the image...
This paper introduces the problem of iterative learning control (ILC) for perspective dynamic systems (PDS), referred to as ILC-PDS, where the task is to track a 3-D desired trajectory from information observed on the image plane of an imaging system, such as a camera. Unlike many ILC implementations in motion control applications, which use feedback from encoders, we assume measurements from the...
Perspective problems arise in machine vision when using a camera to observe the scene. Essential problems include the identification of unknown states and/or unknown parameters from perspective observations. Range identification is used to estimate the states/positions of a moving object with known motion parameters. Range estimation has been discussed in the literature using nonlinear observers with...
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