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...
Сохранить в:
Главный автор: | |
---|---|
Другие авторы: | |
Формат: | doctoralThesis |
Язык: | pt_BR |
Опубликовано: |
Universidade Federal do Rio Grande do Norte
|
Предметы: | |
Online-ссылка: | https://repositorio.ufrn.br/handle/123456789/44632 |
Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|