A neural network based localization from distorted image in omnidirectional catadioptric vision system

Tang Zhe, S. H. Lian, S. Zeng-qi
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引用次数: 1

Abstract

Omni-directional catadioptric vision system has been used increasingly in RoboCup(Robot World Cup) medium-sized league for localization. Omni-directional vision system can greatly increase the view range of robot. The main disadvantage of this vision system is the image distortion. This paper proposed an efficient method, using an Artificial Neural Network, to localize the robot in the field based on the distorted video image captured by mobile robot.
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全向反射视觉系统中基于神经网络的畸变图像定位
全向反射视觉系统在机器人世界杯中型联赛的定位中得到了越来越多的应用。全向视觉系统可以大大增加机器人的视野范围。这种视觉系统的主要缺点是图像失真。本文提出了一种基于移动机器人捕获的失真视频图像,利用人工神经网络对机器人进行现场定位的有效方法。
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