Particle filter as the localization of the robot on the football pitch

Pawel Zakieta, Maciej Zieja, Bartosz Bok
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Abstract

RoboCup competition is a football tournament played by robots. In one of the categories, matches are played between teams of humanoid robots. Accurate position tracking for each team member is essential for building more advanced strategies. However, rules of the game forbid using any sensors that allow global positioning. This article describes an implementation of a positioning system based on a particle system, which is a standard approach for localization problems in known environments. Proposed algorithm uses a monocular camera to obtain feedback from the environment and calculates the similarity between real observation and each particle. Developed system searches for the region with highest local density of particles for best state approximation.
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粒子滤波作为足球场上机器人的定位
机器人世界杯是一项由机器人参加的足球锦标赛。在其中一个类别中,比赛是在人形机器人团队之间进行的。准确跟踪每个团队成员的位置对于制定更先进的战略至关重要。然而,游戏规则禁止使用任何允许全球定位的传感器。本文描述了一种基于粒子系统的定位系统的实现,这是在已知环境中定位问题的标准方法。该算法利用单目摄像机从环境中获取反馈,并计算真实观测值与每个粒子的相似度。开发的系统搜索具有最高局部粒子密度的区域以获得最佳状态近似。
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