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Nanometer‐sectioning optical microscopy has become an indispensable tool in membrane‐related biomedical studies. Finally, many nanometer‐sectioning imaging schemes, such as variable‐angle total internal reflection fluorescence microscopy, metal‐induced energy transfer (MIET) imaging, and supercritical‐angle fluorescence microscopy have been introduced. However, these methods can measure a single layer...
We propose a natural object selection technique of 3D virtual object using user's gaze and hand pose information. The proposed technique aims to provide fast and realistic interaction with the virtual objects in the grasp. The experimental results show that the proposed technique enables a user to naturally select 3D virtual object fast.
This paper presents a vision tracking system to achieve high recognition performance under dynamic circumstances, using a fuzzy logic controller. The main concept of the proposed system is based on the vestibulo-ocular reflex (VOR) and the opto-kinetic reflex (OKR) of the human eye. To realize the VOR concept, MEMS inertial sensors and encoders are used for robot motion detection. This concept turns...
This paper introduces a high performance vision tracking system for mobile robot using sensor data fusion. For mobile robots, it is difficult to collect continuous vision information due to robot's motion. To solve this problem, the proposed vision tracking system estimates the robot's position relative to a target and rotates the camera towards the target. This concept is derived from the human eye...
The vision tracking system in this paper estimates the robot position relative to a target and rotates the camera towards the target. To estimate the robot position of mobile robot, the system combines information from an accelerometer, a gyroscope, two encoders, and a vision sensor. The encoders can provide fairly accurate robot position information, but the encoder data are not reliable when robot...
This paper presents a sensor-data-fusion method using an Unscented Kalman Filter (UKF), to implement an accurate localization system for mobile robots. Integration of data from various sensors using an efficient sensor fusion algorithm is required to achieve a continuous and accurate localization of mobile robots. We use data from low cost accelerometer, gyroscope, and encoders to obtain robot motion...
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