The research of the dynamics parameters identification based on augmented-reality
Guolai Yang · Digital Technology and Application · 2010
The application of augmented-reality is studied in this paper to identify the dynamics parameters of the moving object. The displacement of the object is got though the way of matching the mark on the moving object as a template with every picture from the video using the high-speed camera. According to the Tustin friction model,the method of stochastic optimization is used to identify the parameters of the model of the resultant of all forces on the moving object. Finally,the trend of the result of the identified model is similar with the experiment data,which shows the feasibility and validity of this proposed method.