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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Bibliografische gegevens
Hoofdauteur: Fernandez, Luis Enrique Ortiz
Andere auteurs: Gomes, Rafael Beserra
Formaat: doctoralThesis
Taal:pt_BR
Gepubliceerd in: Universidade Federal do Rio Grande do Norte
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Online toegang:https://repositorio.ufrn.br/handle/123456789/44632
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