960 resultados para Indoor Soccer


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Top Row (from left to right): Hui K. Li, John E. Robertson, Landis D. McDowell, William Robertson; Middle Row (from left to right): Constantine D. Tripolitis, Abram B. Coryell, Felix J. Watts, Jacob deLiefde, Clarence I. Shutes; Bottom Row (from left to right): Samuel Cohen, Clarence R. Stallings, Wen H. Pan, William S. James

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L-R: Howard Donnelly, George Murphy, coach Steve Farrell, H. Leslie Carroll, Clarence Ufer

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Bound in red-brown cloth, stamped in gold and black.

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Thesis (Master's)--University of Washington, 2016-06

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A phased-array antenna with switched-beam elements used to combat interference in an indoor wireless communication system is described. The array uses I-bit phase shifters applied to its elements in order to point its main beam in a desired direction and internal switching of elements in order to form nulls towards interference. The array's capability of suppressing interference is verified by studying its radiation patterns and by performing interference-rejection experiments in an indoor multipath environment. (c) 2005 Wiley Periodicals, Inc.

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This paper describes the real time global vision system for the robot soccer team the RoboRoos. It has a highly optimised pipeline that includes thresholding, segmenting, colour normalising, object recognition and perspective and lens correction. It has a fast ‘paint’ colour calibration system that can calibrate in any face of the YUV or HSI cube. It also autonomously selects both an appropriate camera gain and colour gains robot regions across the field to achieve colour uniformity. Camera geometry calibration is performed automatically from selection of keypoints on the field. The system acheives a position accuracy of better than 15mm over a 4m × 5.5m field, and orientation accuracy to within 1°. It processes 614 × 480 pixels at 60Hz on a 2.0GHz Pentium 4 microprocessor.

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This paper presents the implementation of a modified particle filter for vision-based simultaneous localization and mapping of an autonomous robot in a structured indoor environment. Through this method, artificial landmarks such as multi-coloured cylinders can be tracked with a camera mounted on the robot, and the position of the robot can be estimated at the same time. Experimental results in simulation and in real environments show that this approach has advantages over the extended Kalman filter with ambiguous data association and various levels of odometric noise.