Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Soonhac Hong"'
Publikováno v:
IEEE systems, man, and cybernetics magazine. 2(2)
This article presents a new robotic navigation aid (RNA) called a co-robotic cane (CRC). The CRC uses a three-dimensional (3-D) camera for both pose estimation and object recognition in an unknown indoor environment. The six-degrees-of-freedom (6-DOF
Publikováno v:
Electronic Imaging. 29:10-15
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 12:1169-1180
This paper presents a 6-DOF Pose Estimation (PE) method for a Robotic Navigation Aid (RNA) for the visually impaired. The RNA uses a single 3D camera for PE and object detection. The proposed method processes the camera's intensity and range data to
Autor:
Soonhac Hong, Cang Ye
Publikováno v:
2014 World Automation Congress (WAC).
This paper presents a pose graph based visual SLAM (Simultaneous Localization and Mapping) method for 6-DOF robot pose estimation. The method uses a fast ICP (Iterative Closest Point) algorithm to enhance a visual odometry for estimating the pose cha
Autor:
Cang Ye, Soonhac Hong
Publikováno v:
ICNSC
This paper presents a method to speed up ICP (Iterative Closest Point) refinement of the egomotion estimation of a visual tracker using a 3D time-of-flight camera—SwissRanger SR 4000. The ICP algorithm may be used to reduce the egomotion estimation
Publikováno v:
ROSE
In this paper, we present a 6-DOF pose estimation method for a Portable Navigation Aid for the visually impaired. The navigation aid uses a single 3D camera-SwissRanger SR4000-for both pose estimation and object/obstacle detection. The SR4000 provide
Publikováno v:
2012 IEEE International Conference on Mechatronics and Automation.
This paper presents an experimental study on the performance of a Pose Estimation (PE) method based on a 3D time-of-flight camera — the SwissRanger SR4000. The PE method tracks the visual features in the camera's intensity image and computes the ca
Publikováno v:
SPIE Proceedings.
This paper describes an approach to implement the motion detection for a low-cost surveillance camera system. The motion detection is usually implemented by the image segmentation method in industrial applications. However, the image segmentation met
Conference
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