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Recognition of the light buoy for scan the code mission in 2016 Maritime RobotX Challenge

机译:识别浮标以扫描2016 Maritime RobotX Challenge的代码任务

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This paper describes about the team SNU MACRO'S strategy for scan the code mission in Maritime RobotX Challenge. Before describing the specific algorithm for scan the code mission, our vehicle system which was developed for completing each mission for the competition is outlined briefly. To recognize the LED color of the buoy, image processing algorithm is divided into three step, including preprocessing, extraction and recognition. In preprocessing step, color space conversion is conducted. And then, it extracts the candidate region that's the location of light buoy in whole image using LiDAR information. Finally, recognize the current LED's color using the mean value of hue component. The field experiments and competition's result validate the performance of the proposed approach.
机译:本文介绍了SNU MACRO团队在Maritime RobotX Challenge中扫描代码任务的策略。在描述用于扫描代码任务的特定算法之前,简要概述了为完成比赛的每个任务而开发的车辆系统。为了识别浮标的LED颜色,图像处理算法分为三个步骤,包括预处理,提取和识别。在预处理步骤中,进行色彩空间转换。然后,它使用LiDAR信息提取整个图像中浮标位置的候选区域。最后,使用色相分量的平均值识别当前LED的颜色。现场实验和比赛结果验证了所提方法的性能。

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