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The vision data of natural landmarks are used to improve position estimates during autonomous missions.
Wavelet modeling of functional random effects with application to human vision data.
This paper proposes a robust method to analyze night vision data.
Example applications are drawn from systems and networks, artificial intelligence, computer vision, data mining, and computational biology.
This paper tackles this problem, based on a robotic control architecture that relies on force feedback, without requiring vision data.
Moreover, to extract symbolic information from the environment, we have developed a door detection system that fuses 2D laser and vision data.
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It forms intuition which is needed in other fields like computer vision or data visualization.
Several important problems in vision and data analysis reduce to group synchronization over various compact groups.
The vision pattern data is converted to path specification to command the pattern cutting trajectories for a SCARA robot.
A type of machine vision based data glove with certain encoded features on its surface, strip glove is proposed in this paper.
The optical inspection system consists of a laser, motorized micro-positioning stages, collimating tubes, vision system, data acquisition software and a customized fixture for manipulating the samples.
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