2003
DOI: 10.1016/s0924-4247(03)00256-5
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The optical mouse as a two-dimensional displacement sensor

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Cited by 101 publications
(66 citation statements)
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References 17 publications
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“…There are several proposals in the literature for driving the rotor rod to a certain position [46][47][48][49][50][51][52][53][54] with different degrees of accuracy reported. We chose to develop a neural network based on the visual servo control approach to achieve high accuracy.…”
Section: Neural Network Design: Data Acquisition and Trainingmentioning
confidence: 99%
“…There are several proposals in the literature for driving the rotor rod to a certain position [46][47][48][49][50][51][52][53][54] with different degrees of accuracy reported. We chose to develop a neural network based on the visual servo control approach to achieve high accuracy.…”
Section: Neural Network Design: Data Acquisition and Trainingmentioning
confidence: 99%
“…The proposed approach operates in a similar way, but observes the movement of the ground to determine the pose of itself. The strategy is quite similar to how an optical mouse operates (Ng, 2003), in that the local displacement is accumulated to determine the current pose of the mouse. However, it differs on several important aspects like the ability to determine rotation, having less tolerance for errors, as well as being able to operate on rough surfaces.…”
Section: Related Workmentioning
confidence: 99%
“…Pero, aunque un ratón da una medida precisa del desplazamiento, no puede medir rotaciones, necesitándose para esto al menos dos ratones (Sorensen et al, 2003). Ng (2003) investigó la capacidad de un ratón óptico para funcionar como sensor de desplazamiento en dos dimensiones y concluyó que el ratón sólo podía obtener mediciones sobre objetos opacos y siempre que la distancia entre el objeto y el ratón fuera menor a 1,25 mm.…”
Section: Aplicaciones En Robóticaunclassified
“…Si bien, utilizando sensores ópticos lograron una estimación fiable, como el ratón está diseñado para ser colocado muy cerca de la superficie (Ng, 2003), en terrenos irregulares las medidas no son confiables. Por esta razón Lee et al (2004a) utilizaron ratones ópticos en la misma forma utilizada por Cooney et al (2004) pero combinaron esta información con las medidas de codificadores acoplados a las ruedas de tracción del robot, usando un filtro extendido de Kalman.…”
Section: Aplicaciones En Robóticaunclassified