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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| Autor principal: | Fernandez, Luis Enrique Ortiz |
|---|---|
| Outros Autores: | Gomes, Rafael Beserra |
| Formato: | doctoralThesis |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/44632 |
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