Method to measure, model, and predict depth and positioning errors of RGB-D Cameras in function of distance, velocity, and vibration
This thesis proposes a versatile methodology for measuring, modeling, and predicting errors as the Root Mean Square Error (RMSE) in depth and the Relative Positioning Error (RPE) using data captured from an RGB-D camera mounted on the top of a low-cost mobile robot platform. The proposed method has...
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| Aineistotyyppi: | doctoralThesis |
| Kieli: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| Aiheet: | |
| Linkit: | https://repositorio.ufrn.br/handle/123456789/44632 |
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